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621,382 tools. Updated 2026-09-29 11:09

"Understanding or Using Memory Lists" matching MCP tools:

  • Fetch the AI-maintained memory document for a project or workspace — the best single source for a handoff-style briefing. Sections include purpose, glossary, key people, activity digest, and routing signals, distilled across all meetings. Pass EXACTLY ONE of `project_id` (project memory) or `workspace_id` (workspace-level memory); get ids from `list_workspaces`. Returns the memory as rendered markdown plus `updated_at`. Start here for "give me a summary / bring me up to speed on project X" questions, then drill into `find_subjects`/`search_meeting_transcripts` for specifics.
    ConnectorOAuth
  • Permanently delete one memory by UUID. When to use: user asks to remove outdated or incorrect context, or to free plan storage. When NOT: fix content → update (mode=replace); find the ID first → list_memories or recall. Requires delete OAuth scope. Non-idempotent: deleting the same memory_id twice fails. Errors: Memory not found, Not authorized to delete this memory. Side effects: removes the memory row and vector embedding with no recovery; invalidates plan cache. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.
    Connector
    Destructive
    No auth
  • Update an existing memory by ID. Use mode replace (default) to patch fields, or append to extend content. Re-embeds only when content changes. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.
    ConnectorNo auth
  • Resolve ordinary public product names using bounded filters: Children’s Motrin means brand motrin and audience children; Zyrtec means brand zyrtec; generic cetirizine means ingredient cetirizine; Walmart means brand equate. Omit filters only when unspecified. An unlisted medicine or brand is unsupported; do not drop it or use an ingredient match to substitute another product. Lists matching calculator bottles and separately marked reference-only CVS, Equate and Walgreens formulations with sources. Returns clarification guidance for ambiguous matches. No free text or patient inputs. Arguments and results are excluded from operational telemetry.
    ConnectorNo auth
  • Connect memories to build knowledge graphs. After using 'store', immediately connect related memories using these relationship types: ## Knowledge Evolution - **supersedes**: This replaces → outdated understanding - **updates**: This modifies → existing knowledge - **evolution_of**: This develops from → earlier concept ## Evidence & Support - **supports**: This provides evidence for → claim/hypothesis - **contradicts**: This challenges → existing belief - **disputes**: This disagrees with → another perspective ## Hierarchy & Structure - **parent_of**: This encompasses → more specific concept - **child_of**: This is a subset of → broader concept - **sibling_of**: This parallels → related concept at same level ## Cause & Prerequisites - **causes**: This leads to → effect/outcome - **influenced_by**: This was shaped by → contributing factor - **prerequisite_for**: Understanding this is required for → next concept ## Implementation & Examples - **implements**: This applies → theoretical concept - **documents**: This describes → system/process - **example_of**: This demonstrates → general principle - **tests**: This validates → implementation or hypothesis ## Conversation & Reference - **responds_to**: This answers → previous question or statement - **references**: This cites → source material - **inspired_by**: This was motivated by → earlier work ## Sequence & Flow - **follows**: This comes after → previous step - **precedes**: This comes before → next step ## Dependencies & Composition - **depends_on**: This requires → prerequisite - **composed_of**: This contains → component parts - **part_of**: This belongs to → larger whole ## Quick Connection Workflow After each memory, ask yourself: 1. What previous memory does this update or contradict? → `supersedes` or `contradicts` 2. What evidence does this provide? → `supports` or `disputes` 3. What caused this or what will it cause? → `influenced_by` or `causes` 4. What concrete example is this? → `example_of` or `implements` 5. What sequence is this part of? → `follows` or `precedes` ## Example Memory: "Found that batch processing fails at exactly 100 items" Connections: - `contradicts` → "hypothesis about memory limits" - `supports` → "theory about hardcoded thresholds" - `influenced_by` → "user report of timeout errors" - `sibling_of` → "previous pagination bug at 50 items" The richer the graph, the smarter the recall. No orphan memories! Args: from_memory: Source memory UUID to_memory: Target memory UUID relationship_type: Type from the categories above strength: Connection strength (0.0-1.0, default 0.5) ctx: MCP context (automatically provided) Returns: Dict with success status, relationship_id, and connected memory IDs
    ConnectorOAuth
  • Memory health: per-source ingest and embed counts plus last sync times. Use when you need to know whether the memory is fresh or still ingesting, or when a search came back empty and you need to tell the user whether that means "no data yet" or "nothing matched".
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.

  • Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.
    ConnectorNo auth
  • Screens a name against integrated French, UK and UN public sanctions/freezing lists using explainable fuzzy matching. Use when: Screen a person or organization name against public sanctions lists. You have a person or organization name and need explainable screening against the supported French, UK and UN public sanctions lists. You need candidate matches with fuzzy-match scores before manual review. Avoid when: You have a French company identifier and want company-aware public compliance checks; use company/fr/compliance. You need a complete commercial AML/KYC database or a legal guarantee that a subject is unsanctioned. Limitations: Fuzzy name matching can produce false positives and false negatives, especially for aliases, transliteration and common names. No match means only that no candidate was found in the supported public lists at check time. Price: 0.020 USD per call via x402. Paid-call behavior: source records are not modified, but a successful invocation can consume the advertised x402 payment; the payment-required challenge is free, and repeating the tool after a completed paid invocation may require a new payment. Accepted x402 networks: eip155:8453, xrpl:0.
    ConnectorNo auth
  • Generate an AI prompt for a selected platform using external AI processors and automatically save it to your private PromptDrive. Consumes generation quota and may queue private tile or quality enrichment. Optional Memory grounding uses only your authorized private sources. It does not execute the generated prompt or browse supplied URLs. Calling hosts should pass their selected platformId and exact modelId when available; omission remains supported.
    ConnectorOAuth
  • Free deterministic audit of caller-supplied report text and structured references using [cite:id] markers. Lists unmarked text blocks, unknown/unused refs, duplicate exact source URLs, missing/unsupported URLs and quote presence in the report. Produces validated evidence request batches. No fetch, signing, payment, semantic verification or claim-coverage score.
    ConnectorNo auth
  • Generate an AI prompt for a selected platform using external AI processors and automatically save it to your private PromptDrive. Consumes generation quota and may queue private tile or quality enrichment. Optional Memory grounding uses only your authorized private sources. It does not execute the generated prompt or browse supplied URLs. Calling hosts should pass their selected platformId and exact modelId when available; omission remains supported.
    ConnectorOAuth
  • Read the full text of a cooking guide from recipes-daily.com, as markdown. Call this when search_recipes lists a guide that answers the question — how or why something works in the kitchen, how to store or substitute an ingredient, how to use a piece of equipment — and answer from what it says rather than from memory, citing its URL. Pass the guide URL exactly as search_recipes returned it. For recipes, use show_recipes instead: a recipe is a page the person cooks from, not text to retell.
    ConnectorNo auth
  • One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
    ConnectorNo auth
  • UNDERSTANDING — CATALOG-WIDE operation search: which providers expose a path matching your terms. "Who has a POST /refunds" had no answer before this — tags are what a company says about itself, a path is what its API accepts. Terms match path SEGMENTS (all must appear), so q="payment intents" finds /payments/v1/intents. Add method to narrow by verb, deprecated=true for the retiring ones. One row per real operation: a provider's spec is split per tag, so the same call can live in several of its documents, and `apis` lists them all. Reads matching providers' surfaces up to max_providers (cap 100) and tells you in `meta.query.truncated` when more matched than were read. Priced per result — $0.005 per request plus $0.0002 per record returned (less past 100), capped at $0.50 a request, under pay-as-you-go; included in Understanding and Influence. Estimate first at /api/v1/prices/estimate. See apis://prices.
    ConnectorNo auth
  • Turn messy text or a web page into structured data — headings, links, tables, word counts — without spending your own context window on parsing. Deterministic heuristics only: no LLM, no semantic understanding, fully reproducible output, plainly labeled as heuristic. It extracts structure, not meaning. Pass raw text (up to 100,000 characters) or a URL. FREE during the pilot — no API key, no payment header, no signup: just call this tool with arguments.input and the task runs immediately. Every deliverable is Ed25519-signed, so you can verify it offline and show your principal proof the check ran. Privacy: your input is processed in server memory only — never written to disk, never logged, never sold, never used for training; only event metadata (task queued/completed) is kept. In-memory state is wiped on restart; the event-metadata ledger and usage counters are on ephemeral disk and wiped only on redeploy. Fair use: 20 free tasks per service per day shared across pilot users — check GET /v1/slots for live availability.
    ConnectorNo auth
  • Send a document for e-signature using a template. THIS EMAILS REAL PEOPLE and spends 1 credit — confirm each signer's name and email with the user before calling, or set draft=true to stage without emailing anyone. Requires one signers[] entry per signer key on the template (get_document on the template uuid lists the keys). For sequential signing set send_in_order=true: signers are emailed one at a time, in the order of the signers array (or explicit send_order values, lower first). Pre-fill text fields with fields[] using the field keys from get_document.
    ConnectorNo auth
  • List workspace files. '' shows the whole layout; 'job/<job_id>' or 'project/<project_id>' lists that scope's files; 'job/<job_id>/transcript' (or words, review/shares) lists one file per clip/link.
    ConnectorAPI key
  • List workspace files. '' shows the whole layout; 'job/<job_id>' or 'project/<project_id>' lists that scope's files; 'job/<job_id>/transcript' (or words, review/shares) lists one file per clip/link.
    ConnectorAPI key
  • Read Fieldproxy's app-building reference. topic='index' lists every guide and widget. Guides: 'app' (app JSON), 'view' (screen JSON), 'actions' (onclick/onchange/navigation), 'schema' and 'tenant-schema' (data tables), 'theming', 'design', 'dashboards', and more. Any widget type name (e.g. 'table', 'form', 'map_widget') returns that widget's full syntax. Read the relevant doc before writing any app or screen JSON — it is more reliable than memory. Web and mobile apps have DIFFERENT references: pass platform 'mobile' for a mobile app (no `type: "web"`).
    ConnectorAPI key
  • Delete up to 200 entries, by id (from search_translation_memory), from the translation memory attached to a project, in one atomic call. Use it to remove faulty translations so future jobs stop reusing them. Ids that match no entry in that memory are reported as not found and nothing is deleted for them. A project's translation memory may be shared by other projects in the organisation: it holds their entries too (including languages this project does not translate into), and deleting an entry removes it for every project attached to the memory. The result lists those projects — tell the user which ones were affected. If the repository has reviewed translations in its target files, the next import brings a deleted entry back, so the faulty translation must also be fixed in those files. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.
    Connector
    Destructive
    OAuth
  • List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```
    ConnectorNo auth