saihm-mcp-server (standards client)
The SAIHM server provides a sovereign, encrypted, persistent memory layer for AI agents, enabling them to store, retrieve, share, and govern private data.
saihm_remember— Encrypt and store information as a persistent memory cell (using per-cell DEKs and per-agent KEKs, persisted to Filecoin).saihm_recall— Retrieve and decrypt stored memories, optionally filtered by a keyword query.saihm_forget— Cryptographically erase a specific memory cell by its ID, satisfying GDPR Article 17 (right to erasure).saihm_status— View session statistics including Protocol Runtime State (PRS), BFSI metrics, storage tier usage, sharing contracts, and PHI details.saihm_share— Create a sharing contract (temporary, permanent, or syndicate) granting agents read, write, or read-write access to specific memory shards, with an optional expiry.saihm_revoke_share— Revoke an existing sharing contract by its contract ID, removing previously granted access.saihm_governance_propose— Submit a governance proposal (scoped toemission_paramorprotocol_upgrade) to the gSAIHM governance system.saihm_governance_vote— Cast an approve or reject vote on an open governance proposal, with voting weight derived from the voter's gSAIHM token balance at the proposal's snapshot epoch.
Integrates with CrewAI through a drop-in adapter, allowing CrewAI agents to use SAIHM's encrypted memory for persistent, sovereign memory operations.
Integrates with LangChain via a drop-in adapter, giving LangChain agents access to SAIHM's encrypted memory storage and retrieval capabilities.
Integrates with LangGraph through a drop-in adapter, enabling LangGraph agents to leverage SAIHM's persistent encrypted memory for stateful interactions.
SAIHM MCP Server
Portable memory for AI agents. Your agent remembers what matters — across sessions, across models, and across vendors — and you can share it, revoke it, or erase it for good.
· Apache-2.0
This package is the standards client: eight memory tools any MCP agent — Claude Code, Claude Desktop, Cursor, or your own — can call. It carries no cryptography of its own. It speaks the publicly documented SAIHM memory protocol over plain MCP and reaches whichever SAIHM operator you point it at.
Which package do I want?
You run, or subscribe to, your own SAIHM operator — this one. Being crypto-free and dependency-light is the point: it drops into a custodial operator that performs the cryptography server-side. → Install · Configure
You just want memory working, free, in about a minute — use
@saihm/mcp-server-proand ask your agent to "Join SAIHM". It seals cells on your own machine, so it can use the hosted non-custodial service — which this crypto-free package cannot. No card. → Free trial
Want to watch it work first? Runnable demos across every major model, offline, no account — See it run.
What this is
A Model Context Protocol server that exposes eight tools any MCP-capable AI agent (Claude Code, Claude Desktop, custom agents) can call to gain a persistent, encrypted memory layer the user owns:
saihm_remember— store an encrypted memory cellsaihm_recall— retrieve and decrypt your memoriessaihm_forget— true cryptographic erasure (GDPR Art. 17)saihm_status— your protocol-runtime stats and storage tier dashboardsaihm_share/saihm_revoke_share— selectively share a memory with another agent or usersaihm_governance_propose/saihm_governance_vote— protocol governance; not enabled by default, so expect an error unless your operator has turned it on
Each tool forwards to a SAIHM operator endpoint that runs the full protocol stack on COTI V2 mainnet. The server itself holds no crypto, no storage, and no protocol runtime — those live behind the operator endpoint.
Related MCP server: SharedContext
Tool reference
Tool | Title | Behavior |
| Remember | writes a new memory cell |
| Recall | read-only; safe to repeat |
| Forget (GDPR erasure) | destructive — irreversible erasure |
| Status | read-only |
| Share | writes a sharing contract |
| Revoke share | withdraws a grant |
| Propose (governance) | forwards a proposal; not enabled by default |
| Vote (governance) | forwards a vote; not enabled by default |
Each tool carries MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) and a human-readable title, so MCP hosts can gate confirmations and agents can select the right tool at reasoning time.
Companion package
This package speaks MCP and holds no cryptography, so it always needs an operator endpoint and token. Two companions cover the rest:
@saihm/mcp-server-pro— a drop-in MCP server that performs the client-side cryptography itself and can self-onboard, including the free tier. This is the package to use if you have no endpoint yet — see Free trial.@saihm/client-pro— the same client-side cryptography as a library, for embedding in your own application: post-quantum sealing, authenticated sharing, and provable erasure performed on your own machine so the operator stays blind.
See it run
Runnable, one-command demos ground a memory you own in every major model — Claude, GPT, DeepSeek, Qwen, Kimi, GLM — then prove you can erase it, alongside drop-in adapters for LangChain, LlamaIndex, CrewAI, AutoGen, and LangGraph. Each runs offline in about a minute; no account needed.
Live demos: https://citw2.github.io/saihm-demos/
demo-claude-codewires this server into Claude Code and Cursor as an MCP server.
Measured — up to ~86% fewer context tokens. Most agents re-send their entire transcript every turn, so context spend grows ~O(N²) over a session; recalling a bounded set of memory cells instead cut input tokens by 62.8%–85.9% across a realistic multi-session coding task. The benchmark is open, offline, and deterministic — reproduce the number rather than trust it:
git clone https://github.com/citw2/saihm-token-benchmark
cd saihm-token-benchmark && npm install && node benchmark.mjsInstall
npm install @saihm/mcp-server
# or run directly without install:
npx @saihm/mcp-serverConfigure
The server needs two env vars:
SAIHM_ENDPOINT_URL=https://operator.example.com/mcp
SAIHM_AUTH_HEADER=Bearer <token-issued-by-your-operator>Don't have an endpoint and token yet? They're issued by a SAIHM operator. This package is deliberately crypto-free, so it needs a custodial operator — one that performs cryptography server-side and returns plaintext.
The hosted SAIHM service at https://saihm.coti.global is not one. It is non-custodial by design: it stores only ciphertext and never holds your keys, so cells sealed there can only be opened by a client that holds them. To use the hosted service — including the free trial (sign in with GitHub, no card) — use
@saihm/mcp-server-pro, which seals and opens on your own machine. See Free trial and Join SAIHM below.Use this package against a custodial operator you run or subscribe to. Until one is configured, the tools have nowhere to reach and will return an error.
SAIHM_ENDPOINT_URL— the endpoint of the custodial SAIHM operator you run or subscribe to. Not the hosted service at https://saihm.coti.global, which is non-custodial — see the note above.SAIHM_AUTH_HEADER— theAuthorizationheader value the operator expects (typically aBearer <token>issued to you after key-bound enrolment). The server is authentication-agnostic and never transmits raw private keys; the operator's enrolment flow keeps your signing key on your machine.
Both are read from the process environment. This package loads no .env file —
it has no dotenv dependency and never reads configuration from disk — so set
them in the env block of your MCP host's server configuration, or export them
in the shell that launches the server. If you keep them in a .env for your own
convenience, source it yourself before launching, and keep it out of version
control.
Free trial (sign in with GitHub)
Want to test SAIHM on real infrastructure before you pay? Start a free trial
— for testing purposes, no card — by proving you're a unique person once through
a GitHub device sign-in. It runs through the non-custodial
@saihm/mcp-server-pro
client, which seals cells on your own machine so the operator stays blind.
First generate your master secret — it never leaves your machine, and it is the only key to your memory:
openssl rand -hex 32 > saihm-master.key && chmod 600 saihm-master.keyThen activate:
SAIHM_ENDPOINT_URL=https://saihm.coti.global/mcp \
SAIHM_MASTER_SECRET_FILE=./saihm-master.key \
SAIHM_TIER=FREE \
npx -y @saihm/mcp-server-pro free-joinIt prints a short code and a link: open https://github.com/login/device in
your browser and enter the code. The sign-in stays in your browser — this
client never sees or holds your GitHub token; it is exchanged server-side and
kept ephemeral. When free-join returns, start the server normally (drop
free-join) and it self-onboards on the free trial. No card, and nothing to
cancel — it's a fixed, one-time allowance, not an auto-renewing subscription.
Ready for production? Upgrade in place to a monthly plan — same signing key, same memories, no re-onboarding.
Wire into Claude Code
{
"mcpServers": {
"saihm": {
"command": "npx",
"args": ["@saihm/mcp-server"],
"env": {
"SAIHM_ENDPOINT_URL": "https://operator.example.com/mcp",
"SAIHM_AUTH_HEADER": "Bearer <token>"
},
"timeout": 60
}
}
}Keep timeout, and keep the block as strict JSON with no trailing commas.
Hosts that don't recognise timeout ignore it, but Cline allows a server only
1.5 s to start — too short for npx to resolve and launch a package — and a
server that misses the deadline is skipped silently, with no error in the
chat.
Tell your agent to use it
Wiring the server in makes the tools available; it does not make an agent reach for them. Say this once, and keep it in whatever persistent instructions your agent already reads:
Liberally use SAIHM protocol to maximize token economy. Use my SAIHM memory from now on. At the start of each session, recall what you already know about me. When I tell you something worth keeping — my preferences, decisions, or ongoing projects — remember it. To confirm it works right now: remember that I wired up SAIHM today, then recall it back to me.
Hosts that support MCP prompts can load the same rules on demand instead of
pasting them: the server ships a saihm_session_bootstrap prompt carrying the
full store, recall, share and erase guidance, fetched only when it is asked for
rather than on every session.
Why this is the token-economical setting. Advertising the tools costs a
fixed amount once per session, whether or not the agent uses them. Recall is
what earns it back: one saihm_recall that replaces re-explaining your project,
your preferences or last week's decisions saves more than the advertisement
costs, and the saving compounds the longer the session runs and the more
sessions you keep. An agent that never calls the tools pays the cost and
collects none of the return — which is why the instruction above is worth
setting explicitly rather than hoping the agent infers it.
What gets persisted, where
The server itself persists nothing. The operator endpoint runs the full protocol stack: cells are encrypted under a per-cell DEK, sealed by a per-agent KEK, persisted to the operator's configured durable storage, and audited on COTI V2 mainnet. See the operator's documentation for tier details, and Storage is the operator's responsibility (by design) below.
Storage is the operator's responsibility (by design)
For operators — read this first. SAIHM does not hard-wire your durable storage to any single provider, and it does not silently provision storage for you. Choosing and configuring where cells are persisted is your job, on purpose. This is a deliberate design choice for operator convenience and data sovereignty — not a missing feature. If memory writes fail with a storage error, it almost always means the backend has not been configured yet.
Why it works this way:
Provider sovereignty. You decide where your tenants' encrypted cells live. The protocol never locks you to one vendor or one network.
Local-first, then deep-archive. A typical operator routes writes to a local IPFS (Kubo) node first — fast, authoritative, and under your own control — and then asynchronously to a Filecoin deep-archive provider such as Pinata, Synapse, or Lighthouse. The same content addressing spans both tiers.
Your memory and your tenants' take the same path. Whatever backend you configure serves both the operator's own memory and every tenant's — there is no separate hidden sink hard-coded to one provider.
What you configure (your operator deployment guide lists the exact settings):
a reachable IPFS / Kubo endpoint (a local node is recommended) for the authoritative low-latency tier, and
credentials for at least one Filecoin / IPFS pinning provider for durable deep-archive.
If neither is configured, the endpoint has nowhere durable to put cells and will reject writes rather than lose data. That refusal is intentional.
Prefer not to run storage yourself? Join SAIHM.
You have two paths, and either is fine:
Run your own operator endpoint and configure the storage backend as described above — full sovereignty, your infrastructure.
Join the hosted SAIHM operator and let it provide durable storage for you. It runs blind / non-custodial: paired with client-side sealing (see
@saihm/client-proand@saihm/mcp-server-pro), it only ever stores ciphertext and never holds your keys — so you get managed storage without giving up custody. Enrol via Join SAIHM at https://saihm.coti.global (a paid hosted service).
Reporting engine
A reporting library is bundled as a sub-export, so operators can compose the eight MCP calls into bespoke reports with their own tooling (no extra dependency, no extra service):
import {
validateBespokeTemplate,
registerTemplate,
generateRegistryAttestation,
StubPublicRegistry,
InMemoryReportingRuntime,
GDPR_ART15_FIELDS,
REGISTRY_ATTESTATION_FIELDS,
type BespokeReportTemplate,
} from "@saihm/mcp-server/reporting";The package is ESM-only — "type": "module", and the exports map
declares an import condition with no require one. From a CommonJS project
require("@saihm/mcp-server/reporting") therefore fails with
ERR_PACKAGE_PATH_NOT_EXPORTED, which reads as though the sub-export does not
exist; it does, and the module system is the reason. Both entry points behave this
way — the root and /reporting alike. A newer Node does not help: current Node 20.x
can require() an ES module, but that only takes effect once a require condition
matches, and this package declares none, so the failure is the same on every supported
version. Use import, or load it from CJS with a dynamic await import().
What it covers
Field universe (
FIELD_UNIVERSE) — 280 fields (262 framework + 18 ledger). Templates that project a field outside this set are rejected at validation. Check the split before you plan against the count: the 12 GDPR Art.15, 11 GDPR Art.17 and 18 ledger fields are verbatim canonical names with sub-clause citations, and the other 239 — SOC 2 Type 1 and 2, ISO 27001, and all four AML sub-prefixes — are deterministic structural placeholders (iso27001_F01,aml_ctr_item_01, and so on) that you map to your own canonical names. They are enforced projection slots, not a regulatory enumeration, so selectingiso27001gets you 31 validated slots rather than 31 named ISO 27001 fields. Replacing them with verbatim names against the primary sources is future work.Bespoke template schema — zod validator + universe-membership check + scope/cap enforcement.
Authorization path validators — 4 paths:
public/self/operator-self/operator-for-downstream. These check structure — shape, hex formats, replay windows, kind-vs-auth coupling. Signature verification is done by callbacks you inject; see Wiring signature verifiers before using them to gate anything.Receipt emission — 6 sub-kinds (
report_generated/report_rejected/template_registered/template_superseded/erasure_chain_broken/rate_limit_exceeded) under a stable, domain-separated receipt namespace.Framework smoke —
registry-attestation(public auth) for end-to-end plumbing verification.
Constraints
Every
fieldProjections[]entry MUST be inFIELD_UNIVERSE.scope.customerIdHashes64-hex; max 10,000 per template.scope.timeRangewindow ≤ 366 days.fieldProjectionslength 1–200.framework∈ {gdpr-art-15,gdpr-art-17,soc2-t1,soc2-t2,iso27001,aml,audit-export,billing-history,registry-attestation}.format∈ {pdfa3,json,csv}.
Worked example
const template: BespokeReportTemplate = {
templateId: "acme-q1-summary",
templateVersion: 1,
operatorIdHash: "ab".repeat(32),
scope: {
customerIdHashes: ["cd".repeat(32)],
timeRange: { from: "2026-01-01T00:00:00Z", to: "2026-04-01T00:00:00Z" },
},
framework: "gdpr-art-15",
fieldProjections: [GDPR_ART15_FIELDS[0], GDPR_ART15_FIELDS[1]],
format: "pdfa3",
};
const v = validateBespokeTemplate(template);
if (!v.valid) throw new Error(v.errors.join(", "));
const runtime = new InMemoryReportingRuntime(); // replace with your audit-ledger runtime
const reg = await registerTemplate(template, runtime);
if (reg.ok) console.log("registered:", reg.templateHash);In production, replace InMemoryReportingRuntime with a runtime that persists audit payloads to your operator's audit ledger.
Wiring signature verifiers
The validators do not verify signatures themselves. Cryptography is injected, so the package can stay EVM-free and let you choose your own libraries — but that means the default posture is deliberate and must not be mistaken for enforcement:
With no verifier wired, the validators are shape-only. They check structure and return
ok: truewithout any signature having been checked. This is a legitimate smoke-test posture; it is not authorization. Do not gate a disclosure on a validator result until you have injected verifiers.Unverified results say so — with one of three markers. A path that returns
ok: truewithout a signature having been checked appends a marker to itschainSummary, whichgenerateRegistryAttestationcopies into the receipt asauthChainSummary, so a smoke run stays distinguishable from a verified disclosure after the fact.selfandoperator-selfappend/UNVERIFIED-shape-only;operator-for-downstreamreports its two halves separately as/operator-sig-unverifiedand/customer-sig-unverified. Audit with the exportedchainSummaryIsUnverified()rather than matching a substring by hand — a case-sensitive substring test for the upper-case marker matches only the first of the three and reads a wholly unverified downstream disclosure as verified.Once you wire any verifier, every path that cannot be covered is refused. Wiring any one of the three callbacks is what distinguishes a live deployment from a smoke run, so from that point on a path whose own verifier is missing is rejected instead of returned as shape-only. On
selfthe caller suppliessurfaceandsurfaceselects the verifier (web→verifyEip712,mcp→verifyMlDsa), so wiring only one means a request naming the other surface is refused — otherwise the caller could pick the surface you left unwired and skip verification entirely.operator-selfand the operator half ofoperator-for-downstreamboth requireverifyMlDsaon the same terms: wireverifyEip712alone and every operator-path request is refused rather than authorized unchecked. The one deliberate exception is the customer half of acustomer-grant, which stays a marker rather than a refusal because grants may be authenticated out of band — seeverifyCustomerGrant, and expect/customer-sig-unverifiedin thechainSummarywhen you leave it undefined.Sign the same bytes this package verifies.
selfChallengeMessage,operatorSelfChallengeMessage,operatorDownstreamMessageandcustomerGrantMessageare exported for exactly this: each path is domain-tagged, and a signature over anything else will not verify.
Use pure-crypto libraries for the verifiers (@noble/curves for EIP-712,
@noble/post-quantum for FIPS 204 ML-DSA) — the package itself bundles no EVM tooling.
const verifiers: AuthVerifiers = {
verifyMlDsa: async (signature, message, publicKeyHash) => {
/* your FIPS 204 verify over exactly `message` */
},
};
const result = await validateAuthForKind("audit-export", auth, verifiers);
if (!result.ok) throw new Error(result.reason);
if (chainSummaryIsUnverified(result.chainSummary)) throw new Error("not actually verified");Security
The server enforces a small set of defaults so misconfiguration cannot leak the Authorization header in transit:
HTTPS-only endpoints, held across the whole call.
SAIHM_ENDPOINT_URLmust usehttps://. Plainhttp://is rejected at construction time, except for127.0.0.1andlocalhost(so a local operator endpoint works during development). Because that check covers the configured URL and nothing past it, requests also setredirect: 'error'— an endpoint cannot redirect the call, and the request body with it, to a host that was never validated.Per-call abort window. Each request runs under an
AbortControllerthat aborts after 30s, preventing a hung endpoint from starving the MCP server.Response-size cap. 16 MB, enforced twice. A
Content-Lengthover the cap is rejected before the body is read at all; independently, the body is measured while it streams and the read is aborted the moment it exceeds the cap. The cap therefore does not depend on the sender declaring an honestContent-Length, or any at all.No header echo.
Authorizationis never included in thrown error messages or stdout.No configuration or user data read from disk. Configuration flows entirely through env vars, and nothing is ever written to disk. The package opens exactly one file: its own
package.json, once at startup, soserverInfo.versionmatches the published version (falling back to0.0.0-devif it cannot be read). No credential, cell, or user-data path touches the filesystem.Zero EVM tooling. No
ethers, noeth_*, no Solidity. If operators inject signature verifiers viaAuthVerifiers, they should use pure-crypto libraries (@noble/curves,@noble/post-quantum).
Trust model: this client trusts whatever endpoint the operator configures. Cell IDs, audit anchors, and report receipts returned from that endpoint are surfaced to the agent verbatim — operators are the authority for content shown via saihm_recall. Verifying receipts against COTI V2 mainnet anchors is out of scope for this server; consume the cellId and auditCellId fields and verify against your own SAIHM mainnet read path.
For distribution integrity, each release carries the npm registry signature; verify with npm audit signatures (and inspect npm view @saihm/mcp-server --json | jq .dist).
Dependencies
The published npm package has a minimal runtime surface:
Dependency | License | Role |
Node.js (≥ 20.x) | MIT | Runtime |
| MIT | Runtime; MCP SDK, binds the eight-tool surface |
| MIT | Runtime; validates tool inputs and report templates |
| MIT | Runtime; SHA-256 for content digests only — a template's |
TypeScript | Apache-2.0 | Build-time only — not installed by |
| MIT | Build-time only; TypeScript runner for tests + CLI |
No copyleft, no proprietary dependencies. Cryptographic primitives at the
operator-endpoint layer (ML-DSA-65 / Ed25519 / key derivation) are not bundled into
this MCP server; operators implementing the protocol stack are recommended
to use @noble/post-quantum and @noble/curves (MIT) rather than rolling
custom code.
Achievements
OpenSSF Best Practices Passing badge — project 12898, 100% Passing criteria (2026-05-19). https://www.bestpractices.dev/projects/12898
IETF —
draft-saihm-memory-protocol-01(2026-05-27) was submitted to the Independent Submission Stream; on 2026-07-25 the ISE concluded its consideration and released it from the queue (datatracker stream now None), directing the work toward IETF working-group activity (theagentprotoeffort). It is not an Internet Standard, is not endorsed by the IETF, and has no formal standing in the IETF standards process. The-01draft remains available on the datatracker as the current reference text. https://datatracker.ietf.org/doc/draft-saihm-memory-protocol/npm registry — releases from
0.3.6(2026-06-30) onward are published from GitHub Actions over OIDC trusted publishing and carry an npm sigstore provenance attestation;0.3.6–0.3.10all do, and the ten earlier versions (0.1.0–0.3.5), published by hand, do not — seeHARDENING.md§"Distribution integrity", which also records that no release tag is signed.0.3.4(2026-06-22) adds a conspicuous "Storage is the operator's responsibility (by design)" section — documenting BYO storage and the Join-SAIHM hosted, non-custodial option.0.3.3(2026-06-22) was a documentation release that states the Independent-Submission status precisely (no implied IETF endorsement) and cross-references the companion package@saihm/client-pro. 0.3.2 (2026-06-22) corrected the documented operator-endpoint path to/mcp(the canonicalSAIHM_ENDPOINT_URLpath) across the README and client comments. 0.3.1 (2026-05-28) was a metadata patch that sources the MCPserverInfo.versionfrompackage.json(was hardcoded"0.1.0"from 0.1.0 through 0.3.0). 0.3.0 (also 2026-05-28) aligned thesaihm_statusresponse shape withdraft-saihm-memory-protocol-01§3.4 (full eight-field schema:prs,bfsi,bfsi_window_start_ts,bfsi_R,bfsi_M,shards,contracts,governance). 0.2.0 (also 2026-05-28) aligned the cell-tuple response shape with §2.1; The OpenSSF Best Practices Passing badge was achieved on 2026-05-19 alongside the governance and assurance files; those files first reached npm in 0.2.0 (2026-05-28), as the 0.1.3 version they were prepared under was never published.MCP Registry / Glama — server listed for discovery (2026-05-16).
Roadmap
A 12-month roadmap is maintained in the project's AAIF proposal and is published at https://saihm.coti.global/roadmap. Near-term tracks:
2026-Q2 (closed — one gap carried forward) — Of the OpenSSF Silver pursuit, governance, code-of-conduct, DCO sign-off, coverage tooling and the assurance case all landed. Release-tag signing did not;
GOVERNANCE.md§"Releases" andHARDENING.md§"Distribution integrity" both record it as an open gap, and it is carried into the Silver track below.2026-Q3 — First 2–3 external organization deployments; formal AAIF Project Proposal submission when adoption blockers clear.
2026-Q4 — NIST AI RMF crosswalk public review; EU AI Act compliance-checklist generator. OpenSSF Silver award (target).
2027-Q1 — v1.0 reference implementation. The specification's standards path is open: the ISE route closed on 2026-07-25, and the intent is to re-anchor the normative reference on an IETF working-group document once one exists that can be cited. No publication date is being claimed for that, because none is in the project's gift.
Support
SAIHM is developed and maintained by a solo founder. If it's useful to you or your organization, please consider sponsoring the project — it funds continued protocol, client, and open-standards work and keeps this open reference implementation maintained.
License
Apache-2.0 — see LICENSE.
Project
Issue tracker: https://github.com/SAIHM-Admin/saihm-mcp/issues
Security: see
SECURITY.mdfor private vulnerability disclosureContributing: see
CONTRIBUTING.mdandCODE_OF_CONDUCT.mdGovernance: see
GOVERNANCE.mdChangelog: see
CHANGELOG.md
Available Tools
8 toolssaihm_forgetForget (GDPR erasure)ADestructiveIdempotent
Cryptographically erase a memory (GDPR Art. 17 erasure). Use this only to permanently and irreversibly delete a stored memory by its cell id; this cannot be undone.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Memory entry ID (hex cellId) to erase |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds 'cryptographically erase', 'permanently and irreversibly delete', and 'cannot be undone' beyond annotations. Annotations state destructiveHint=true and idempotentHint=true, but description provides richer context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load the action and purpose, then add usage guidance. No redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple destructive tool with one parameter and no output schema, the description covers purpose, behavior, and usage adequately. It could mention error handling or idempotency but is largely complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema coverage, the description adds minimal value beyond reiterating 'by its cell id'. The schema already documents the parameter format and purpose.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the verb 'erase' and the resource 'memory' with a specific legal context (GDPR Art. 17). It distinguishes from sibling tools like saihm_recall and saihm_remember by focusing on irreversible deletion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes 'Use this only to...' which implies a singular purpose but does not explicitly list when not to use or alternative tools. It lacks direct comparison to siblings for guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
saihm_governance_proposePropose (governance)A
Submit a gSAIHM-governance proposal. Scope MUST be 'emission_param' or 'protocol_upgrade'. Use this to open a protocol governance vote.
| Name | Required | Description | Default |
|---|---|---|---|
| scope | Yes | Governable scope | |
| paramKey | No | Parameter key (when scope=emission_param) | |
| proposedValue | No | Proposed value as string |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate mutation (readOnlyHint=false) and open world, description adds no further behavioral details beyond stating the action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences, front-loaded with purpose, no redundant or wasted text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a simple tool with rich schema and annotations; could be improved by mentioning what happens after submission (e.g., proposal ID).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers all parameters with descriptions (100% coverage), and the description adds no additional meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the verb 'Submit' and resource 'gSAIHM-governance proposal', specifies allowed scopes, and distinguishes from sibling 'saihm_governance_vote'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit scope constraints ('MUST be emission_param or protocol_upgrade'), but does not mention alternatives or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
saihm_governance_voteVote (governance)A
Cast a vote on an open gSAIHM-governance proposal. Vote weight is derived from gSAIHM balance at proposal.snapshotEpoch. Use this to approve or reject an open proposal by its proposalId.
| Name | Required | Description | Default |
|---|---|---|---|
| approve | Yes | true = approve, false = reject | |
| proposalId | Yes | Hex proposalId returned by saihm_governance_propose |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral context beyond annotations, such as vote weight being derived from balance at snapshotEpoch. Annotations already indicate non-readonly, non-idempotent, non-destructive, and description aligns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with action and purpose, no redundancy. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple voting tool, the description covers core functionality. However, absence of output schema means return values are not described, which could be improved.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so description adds limited value. It clarifies approve as boolean and proposalId as hex from propose, but the schema already defines these clearly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Cast a vote on an open gSAIHM-governance proposal' with specific verb and resource, and distinguishes from siblings like saihm_governance_propose. It includes key details about vote weight derivation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates when to use ('on an open proposal') but does not explicitly state when not to use or mention alternatives. However, the sibling context provides differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
saihm_recallRecallARead-onlyIdempotent
Retrieve memories from the SAIHM encrypted store; the operator decrypts and returns plaintext, this client holds no keys. Use this at the start of a session or whenever past context is needed; pass a keyword to filter, or leave empty to load all.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Filter by keyword (empty = all) |
Output Schema
| Name | Required | Description |
|---|---|---|
| count | Yes | |
| memories | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds useful context beyond those: the client holds no keys, an external operator performs decryption, and an empty query loads all memories. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each earning its place: the first states the action and security model, the second covers when to use it and how the parameter behaves. There is no filler or redundant boilerplate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one optional parameter, an output schema, and safety annotations, the description covers purpose, timing, empty-query behavior, and the key-handling model. Nothing an agent needs to invoke it correctly is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the query parameter is already described as 'Filter by keyword (empty = all)'. The description restates that behavior without adding new format, example, or edge-case detail, so the schema carries the load.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb-and-resource claim ('Retrieve memories from the SAIHM encrypted store') and immediately clarifies that an operator decrypts and returns plaintext. This clearly distinguishes it from sibling tools like saihm_remember, saihm_forget, and saihm_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives an explicit trigger: 'Use this at the start of a session or whenever past context is needed.' It does not explicitly enumerate exclusions or name alternatives, but the usage context is clear and not misleading.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
saihm_rememberRememberA
Store information to SAIHM persistent encrypted memory. Use this when an agent or user wants a fact, decision, or piece of context to persist across sessions.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Information to remember |
Output Schema
| Name | Required | Description |
|---|---|---|
| tier | No | |
| epoch | No | |
| cellId | Yes | |
| feeNcoti | No | |
| cellNonce | No | |
| kekVersion | No | |
| signaturePrefix | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds 'persistent encrypted memory' beyond annotations, but does not detail side effects, overwrite behavior, or limitations. With annotations already indicating non-read-only and non-idempotent, the description adds moderate value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no wasted words. Front-loaded with the action and immediately useful for an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple storage tool with one parameter, the description covers the main purpose and usage context. Could mention output or limits, but overall adequate given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and describes the single parameter 'content' as 'Information to remember'. Description does not add additional meaning beyond that, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the verb 'Store' and resource 'SAIHM persistent encrypted memory'. Description distinguishes from sibling tools like saihm_recall and saihm_forget by emphasizing persistence across sessions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit when-to-use context: 'when an agent or user wants a fact, decision, or piece of context to persist across sessions.' While it doesn't explicitly state when not to use, the sibling tool names make alternatives obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
saihm_statusStatusARead-onlyIdempotent
Show SAIHM session status (PRS, BFSI, storage by tier, sharing, PHI), as far as the operator reports them — a non-custodial operator cannot see stored-byte totals. Use this to check the agent identity, reputation, storage, and sharing state of the current SAIHM session.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| phi | No | |
| custody | No | |
| prsLevel | No | |
| prsScore | No | |
| bfsiScore | No | |
| agentIdHash | Yes | |
| snapshotEpoch | No | |
| feeDiscountPct | No | |
| activeShardCount | No | |
| activeSharingContracts | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, destructiveHint. Description adds value by noting that results depend on operator reporting and that non-custodial operators cannot see stored-byte totals. No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with key purpose and scope, no unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters, existing annotations, and presence of output schema, the description fully covers what the tool does, its limitations, and when to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so baseline is 4. Description adds context about what status includes, which is helpful but not required for parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it shows SAIHM session status listing specific areas (PRS, BFSI, storage by tier, sharing, PHI). Verb 'Show' and resource are precise, and it distinguishes from sibling tools which have different functions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states use case: 'check the agent identity, reputation, storage, and sharing state of the current SAIHM session.' It does not explicitly mention when not to use it, but the context and sibling tools make alternatives clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v0.3.10- Changed
saihm_recall1 field changed- changed
Output schema / properties / memories / items / requiredPrevious value: -[ - "cellId", - "kekVersion", - "cellNonce", - "timestamp", - "tier", - "plaintext" -]New value: +[ + "cellId", + "plaintext" +]
- Changed
saihm_remember1 field changed- changed
Output schema / requiredPrevious value: -[ - "cellId", - "cellNonce", - "tier", - "kekVersion", - "epoch", - "feeNcoti", - "signaturePrefix" -]New value: +[ + "cellId" +]
- Changed
saihm_status2 fields changed- added
Output schema / properties / custodyAdded value: +{ + "type": "string" +} - changed
Output schema / requiredPrevious value: -[ - "agentIdHash", - "prsScore", - "prsLevel", - "bfsiScore", - "feeDiscountPct", - "activeShardCount", - "activeSharingContracts", - "phi", - "snapshotEpoch" -]New value: +[ + "agentIdHash" +]
3 tool updates
v0.3.6- Changed
saihm_recall1 field changed- changed
Output schema / (root)Previous value: -nullNew value: +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "count": { + "type": "number" + }, + "memories": { + "items": { + "additionalProperties": false, + "properties": { + "cellId": { + "type": "string" + }, + "cellNonce": { + "type": "string" + }, + "kekVersion": { + "type": "string" + }, + "plaintext": { + "type": "string" + }, + "tier": { + "type": "string" + }, + "timestamp": { + "type": "string" + } + }, + "required": [ + "cellId", + "kekVersion", + "cellNonce", + "timestamp", + "tier", + "plaintext" + ], + "type": "object" + }, + "type": "array" + } + }, + "required": [ + "count", + "memories" + ], + "type": "object" +}
- Changed
saihm_remember1 field changed- changed
Output schema / (root)Previous value: -nullNew value: +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "cellId": { + "type": "string" + }, + "cellNonce": { + "type": "string" + }, + "epoch": { + "type": "string" + }, + "feeNcoti": { + "type": "string" + }, + "kekVersion": { + "type": "string" + }, + "signaturePrefix": { + "type": "string" + }, + "tier": { + "type": "string" + } + }, + "required": [ + "cellId", + "cellNonce", + "tier", + "kekVersion", + "epoch", + "feeNcoti", + "signaturePrefix" + ], + "type": "object" +}
- Changed
saihm_status1 field changed- changed
Output schema / (root)Previous value: -nullNew value: +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "activeShardCount": { + "type": "number" + }, + "activeSharingContracts": { + "type": "number" + }, + "agentIdHash": { + "type": "string" + }, + "bfsiScore": { + "type": "number" + }, + "feeDiscountPct": { + "type": "number" + }, + "phi": { + "type": "number" + }, + "prsLevel": { + "type": "string" + }, + "prsScore": { + "type": "string" + }, + "snapshotEpoch": { + "type": "string" + } + }, + "required": [ + "agentIdHash", + "prsScore", + "prsLevel", + "bfsiScore", + "feeDiscountPct", + "activeShardCount", + "activeSharingContracts", + "phi", + "snapshotEpoch" + ], + "type": "object" +}
7 tool updates
v0.3.1- Changed
saihm_forget1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_governance_propose1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_governance_vote1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_recall1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_remember1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_revoke_share1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
saihm_share1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
8 tool updates
v0.1.2- First observed
saihm_forget - First observed
saihm_governance_propose - First observed
saihm_governance_vote - First observed
saihm_recall - First observed
saihm_remember - First observed
saihm_revoke_share - First observed
saihm_share - First observed
saihm_status
TDQS
Scored across 8 tools
Each tool targets a distinct operation: memory lifecycle (remember/forget/recall), session status, sharing contracts (share/revoke_share), and governance (propose/vote). There is no meaningful overlap or ambiguity between tools.
All tools share the consistent 'saihm_' prefix, which signals the same domain. Minor deviations exist: some are bare verbs (saihm_remember, saihm_status) and governance tools use noun-verb ordering (saihm_governance_propose) rather than the verb-noun pattern seen in saihm_revoke_share.
Eight tools is well-scoped for a memory, sharing, and governance client. Each tool covers a distinct capability without redundancy or bloat.
Core memory operations (store, retrieve, delete), sharing lifecycle, and governance voting are covered. Minor gaps exist, such as no tool to list open sharing contracts or enumerate governance proposals, but these are workable from the provided surface.
Maintenance
Related MCP Connectors
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
- memnodeOAuthdev.memnode
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
TPermanent memory layer for AI agents. Mint moments to the Polygon blockchain via MCP.
Related MCP Servers
- FlicenseAqualityFmaintenancePersistent encrypted memory for AI agents. E2E encrypted private vaults, shared knowledge commons, topic channels, and agent-to-agent DMs. 23 MCP tools, free, no API key needed.24-
- AlicenseNot gradedqualityCmaintenanceProvides encrypted, portable memory for AI agents via MCP, allowing fact storage, conversation recall, and cross-machine sync using Arweave.10 npm50MIT
- AlicenseNot gradedqualityCmaintenanceA permissioned memory tree for you and your AI — served over MCP.9 npm1MIT
- AlicenseAqualityAmaintenanceEmbedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.32MIT