ossian-mcp
This server lets an agent answer questions from an organisation's own documents (with citations), inspect the corpus, and use a persistent memory store, all gated by read-only/read-write/admin modes.
Ask the documents – answer from internal policy, runbooks, handbooks, contracts or product docs, with exact passages as citations; refuses to guess when nothing supports an answer.
List namespaces – see the slices the corpus is divided into and how many documents each holds.
List documents – see what is available to answer from and whether uploads have finished ingesting.
Recall from memory – retrieve previously remembered facts/preferences relevant to the current situation, ranked by relevance, importance and recency; separate from the document corpus.
Add a document from a URL (read-write mode) – pull a public page into the corpus.
Remember (read-write mode) – record a preference, fact or decision worth keeping.
Forget a session (admin + explicit allow flag) – irreversibly erase one conversation's memory, with optional human confirmation.
Safety controls – read-only default, namespace allowlists/protected slices, dry-run writes, and audit logging.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ossian-mcp What does our handbook say about submitting expense reports?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ossian-mcp
MCP server for Ossian — ask your organisation's own documents and get the passages the answer came from, plus a memory for your agent that outlives the conversation.
Ossian is the server; this is the adapter that puts it in front of an agent. You need a running
Ossian to point it at — see its README for a
docker compose up.
What it gives an agent
Tools are gated by access mode (see Safe by default) — the server starts read-only, exposing only the four read tools until you raise the mode.
Tool | For | Needs mode |
| answer from the corpus, with citations — and say so when it cannot | read-only |
| which slices exist, and how much is in each | read-only |
| what is available to answer from, and what is still ingesting | read-only |
| retrieve what is relevant now, ranked by relevance, importance and recency | read-only |
| pull a public page into the corpus | read-write |
| record a preference, fact or decision worth keeping | read-write |
| erase one conversation's memory (irreversible) | admin + |
Related MCP server: MCP Server + Document Memory System
Install
npm install -g ossian-mcpYou need a running Ossian and an API key. Issue one from the console (Console → API keys) or:
curl -X POST "$OSSIAN_URL/api/admin/api-keys" \
-H "Authorization: Bearer $TOKEN" -H 'Content-Type: application/json' \
-d '{"name":"mcp","roles":["ossian-user"],"namespace":"handbooks"}'Give the key the narrowest scope that works. namespace confines it to one slice, so a key that
leaks reads only what that agent was for.
Configure
{
"mcpServers": {
"ossian": {
"command": "ossian-mcp",
"env": {
"OSSIAN_URL": "http://localhost:8081",
"OSSIAN_API_KEY": "osk_...",
"OSSIAN_AGENT_ID": "support-bot",
"OSSIAN_MODE": "read-only"
}
}
}
}OSSIAN_AGENT_ID separates one agent's memories from another's; two agents sharing an id share
their recollections, which is occasionally what you want and usually not.
See docs/CLIENTS.md for Claude Code / Cursor / Codex / VS Code / Windsurf snippets, and .env.example for every supported variable.
Safe by default
The server enforces an access model on top of the Ossian API key — defence in depth over the
key's own roles and namespace confinement. It reads its policy from the environment
(.env.example) and enforces it in src/security.ts:
OSSIAN_MODE—read-only(default) →read-write→admin. A tool is registered only if the mode allows its capability. Read-only exposes four tools; ingest and remember needread-write; forget needsadmin.OSSIAN_ALLOW_FORGET—forget_sessionerases memory irreversibly, so on top ofadminmode it also requires this flag.OSSIAN_NAMESPACE_ALLOWLIST/OSSIAN_PROTECTED_NAMESPACES— confine which slices can be touched, and mark slices that may be read but never ingested into.OSSIAN_DRY_RUN— validate and log writes (ingest / remember / forget) without executing.OSSIAN_AUDIT_LOG— a JSON audit line per guarded operation, on stderr (default on).Interactive confirmation — when the client supports MCP elicitation,
forget_sessionprompts the human to approve before erasing a session's memory; clients that can't elicit fall back to theOSSIAN_ALLOW_FORGETgate.
The primary control remains the API key: issue the narrowest one that works. See SECURITY.md.
Two things worth knowing
A "not found" is an answer. ask_documents returns a refusal when nothing in the corpus
supports a response, and the tool description tells the model to report that rather than falling
back on general knowledge. An invented answer presented as company policy is the failure this
whole system exists to prevent — do not paper over it in your own prompt.
Memory is not the corpus. recall searches what the agent was told; ask_documents searches
what the organisation wrote down. They are separate stores on purpose: memories surfacing as
citations in a policy answer would be indistinguishable from the policy itself.
Developing
npm install
npm run build
OSSIAN_URL=http://localhost:8081 OSSIAN_API_KEY=osk_… node dist/index.jsIt speaks JSON-RPC over stdio, so it will sit there waiting for a frame. To drive it by hand:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | node dist/index.jsDiagnostics go to stderr on purpose — anything written to stdout that is not a protocol frame corrupts the stream, and the failure looks like a client that cannot parse rather than a server that printed a log line.
Licence
Apache-2.0
Available Tools
4 toolsask_documentsAsk the documentsARead-onlyIdempotent
Answer a question from the organisation's own documents, with citations. Returns the exact passages the answer was written from. Use this for anything about internal policy, runbooks, handbooks, contracts or product documentation — anything the user's organisation wrote down. If nothing in the corpus supports an answer this reports that rather than guessing: treat 'not found' as the real answer and say so, do not fall back on general knowledge and present it as the organisation's policy.
Inputs: question (required), namespace.
list_documentsList documentsARead-onlyIdempotent
List the documents available to answer from, with their ingestion status. Use this to tell the user what the system actually knows about, or to check whether something they uploaded has finished processing.
Inputs: namespace.
list_namespacesList namespacesARead-onlyIdempotent
List the slices the document corpus is divided into, with how many documents each holds. Use this before ask_documents when a question clearly belongs to one area and you want to avoid another area answering it.
Inputs: no named parameters.
recallRecall from memoryARead-onlyIdempotent
Retrieve what was previously remembered that relates to the current situation. Ranked by relevance, weighted by importance and decayed by age, so a recent statement outranks an old one saying the opposite. Worth calling at the start of a conversation with a returning user. This searches memory, not documents — use ask_documents for anything the organisation wrote down.
Inputs: query (required), limit, agentId, subject, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 4 tools
recall vs ask_documents is clearly delineated (memory vs organisational documents) and reinforced with explicit cross-references in the descriptions. list_documents and list_namespaces are both listing operations but target different resources (documents vs corpus slices with counts), so an agent should rarely confuse them.
Two tools follow a clean list_* pattern (list_documents, list_namespaces) and ask_documents uses a verb_noun form, but 'recall' is a bare verb with no object, breaking the pattern. The set is still readable, just not uniformly conventional.
Four tools is on the lean side but suits a narrow retrieval/memory scope where each tool earns its place. Nothing feels redundant or excessive for the stated purpose.
The read path is well covered (list documents, list namespaces, ask, recall), but there is no tool to store or update memories, and no way to fetch or inspect a single document. If ingestion is handled externally this is workable, but the memory side looks write-incomplete.
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