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260,453 tools. Last updated 2026-07-05 06:35

"How to operate notes in the Memos app" matching MCP tools:

  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
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  • Get the link to download the Eveoy shopper app (iOS / Android). Use this when the user wants to: - Download or install the Eveoy app - Become an Eveoy shopper - Find the app store link Trigger phrases include: "get the eveoy app", "download eveoy", "how do I become a shopper", "app store link", "install the app". Returns: { url, platforms, notes }. Returns the canonical get-app page, which routes to the correct store per device. Do NOT use this for: brand/business questions (use ask_eveoy) or pricing (use get_pricing). Cost: free. Latency: <50ms. Read-only. Idempotent.
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  • List every Autodesk Construction Cloud (ACC) / BIM 360 project the configured APS 2-legged app has access to, flattened across all hubs, with hub_id, hub_name, project_id, project_name, and project type. When to use: you need a project_id to pass into acc_create_issue, acc_list_issues, acc_create_rfi, acc_list_rfis, acc_search_documents, or acc_project_summary. When NOT to use: you already have the b.xxxx project_id. This tool makes N+1 API calls (one per hub) so avoid calling it in tight loops. APS scopes: data:read account:read Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired/invalid — refresh; 403 scope or resource permission denied (app not provisioned for any hub in ACC Account Admin → Custom Integrations); 404 no hubs found — check APS app provisioning; 429 rate limited — backoff and retry; 5xx APS upstream outage — retry with jitter. Side effects: READ-ONLY. Inserts a row into D1 usage_log. Idempotent.
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  • Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.
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  • Pure vector search over per-filing actuarial-memorandum embeddings (`extract_embeds` where `kind='actuarial_memo'`). Each hit is a filing whose memo is semantically closest to your query, with the matching excerpt and lite filing metadata. **Cost**: one query-embedding call + one indexed Postgres lookup. Bounded, cheap, fast. No LLM planning, no LLM composition. **This is the right tool any time the question is *actuarial-shape*.** Reach for it — not `search_summary_embeds` and not `search_filing_embeds` — when the user is asking about: - Rate adequacy: headline rate change, indicated vs selected, off-balance, capping. - Loss trends: severity trend, frequency trend, pure-premium trend, projected ultimates, LDFs, IBNR development. - Credibility / experience: experience period, weight assigned to own experience vs class-plan / bureau, credibility tables. - Expense / profit provisions: permissible loss ratio, target combined ratio, profit & contingency loading, expense ratio, investment-income offset. - Reason codes / drivers: reinsurance cost, weather/cat load, severity-driven rate need, mix shift, frequency reductions from telematics. - Anything where the answer would be a *number from the actuarial memo* rather than a description of what the filing does. The memo is where actuaries put the numerics; the extraction summary is where the pipeline puts the prose. If the question reaches for numbers, hit this surface first. **Wrong surface for**: - *Content* questions ("filings discussing wildfire scoring", "telematics programmes", "parametric triggers") — those discuss what the filing is *about*, not actuarial numerics. Use `search_summary_embeds` (broader coverage). - Concrete-filter questions ("Filings from carrier NAIC 12345 in 2024") — use `search_filings`. - Filings with no actuarial memo. Memos are typically attached to Rate filings; Form, Rule, and Withdrawal filings often have none. Coverage is narrower than `search_summary_embeds` for that reason — most of the 2026 corpus is covered, prior years are backfilling. **How to combine**: - "Personal auto filings in California whose indicated rate exceeds selected by 5+ points" → `search_filings` (state=CA, product_type="Personal Auto", filing_type="Rate") to scope a candidate set, then this tool over the candidates' memos. - "Carriers citing severity-driven rate need in 2025" → this tool first; `get_filing_summary` on the top hits to read in full. Returns top-K hits, each with `{serff, similarity, excerpt, meta}`. Default `topK=10`, max 50. Excerpt is the first 800 chars of the matching memo.
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Matching MCP Servers

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    MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.
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    Apache 2.0
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    A Model Context Protocol integration for the MemOS memory system, optimized for personal AI assistant scenarios with intelligent memory management and retrieval capabilities.
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Matching MCP Connectors

  • Podcast directory search + best podcasts + recommendations via Listen Notes. Free key required.

  • Read-only Bible for AI: search & read scripture in Thai & English, plus a daily verse.

  • Returns a structured snapshot of the LMCP environment: server/tray/teams-proxy versions, detected AI client, cloud relay state, TCC permission states (Calendar/Reminders/Contacts), and a compact summary of which services (Mail/Calendar/Contacts/Teams/OneDrive/Reminders/Notes) are reachable. Fast (<500ms), passive — never prompts the user, never opens app windows, never touches the network. Call this when you need to verify the environment is healthy before attempting a tool, or to understand what's installed and accessible. For reporting failures, use `report_problem` instead — it captures this same snapshot plus logs and submits to the team.
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  • Returns the UGC Pocket service descriptor: creator categories (e.g. dog, cooking, sport), prestation types, supported platforms, currency (EUR, budgets in cents), minimum budget per creator (5000 = €50) and the order model (agent creates a draft, a human confirms and funds it in the app). No authentication required. Call this first to learn valid enum values.
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  • Enumerate every ACC and BIM 360 project the authenticated APS app can see by walking all accessible hubs and their project lists. When to use: The agent needs to discover project IDs before calling any other tool (e.g. the user says 'show me my projects' or 'find issues in the Tower project' and no project_id is known yet). Also useful to confirm hub membership for a project. When NOT to use: Do not call this repeatedly in a loop — cache the result; if the user already supplied a project_id starting with 'b.', skip discovery. APS scopes: data:read account:read. No write scope needed. Rate limits: APS default ~50 req/min per app per endpoint; BIM 360 hubs endpoints are pageable (limit 200). This tool fans out 1 hubs call + N project calls (one per hub) so call it sparingly on tenants with many hubs. Errors: 401 (APS token expired — refresh and retry once); 403 (app not provisioned in the BIM 360/ACC account — ask user to have an account admin add the APS client_id); 404 (rare, indicates hub deleted mid-call); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.
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  • Authenticated — append a free-text evidence note to a specific stage in the caller's active course. Notes record concrete implementation observations, decisions, or artefacts that demonstrate progress through a Blueprint principle (e.g. how a delegation boundary was implemented, what approval flow was chosen and why). Persisted as UserStageEvidence rows scoped to (user_id, course_slug, stage_slug). WHEN TO CALL: AFTER the user has articulated something concrete they have built, observed, or decided — not to capture intent or speculation. Pair with me.coaching_context to close evidence gaps. WHEN NOT TO CALL: to log every conversation turn; to record planning, ideas, or todos; on behalf of another user; without the user's awareness (they should know their progress is being recorded). BEHAVIOR: write-only, single insert. Auth: Bearer <token> (Firebase ID token, any plan). UK/EU residency. Notes are visible only to the owning user and are surfaced on me.learning_path / me.coaching_context. Confirms the stage_slug + course_slug pair in the response so the user can see which stage was credited.
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  • Authenticated — append a free-text evidence note to a specific stage in the caller's active course. Notes record concrete implementation observations, decisions, or artefacts that demonstrate progress through a Blueprint principle (e.g. how a delegation boundary was implemented, what approval flow was chosen and why). Persisted as UserStageEvidence rows scoped to (user_id, course_slug, stage_slug). WHEN TO CALL: AFTER the user has articulated something concrete they have built, observed, or decided — not to capture intent or speculation. Pair with me.coaching_context to close evidence gaps. WHEN NOT TO CALL: to log every conversation turn; to record planning, ideas, or todos; on behalf of another user; without the user's awareness (they should know their progress is being recorded). BEHAVIOR: write-only, single insert. Auth: Bearer <token> (Firebase ID token, any plan). UK/EU residency. Notes are visible only to the owning user and are surfaced on me.learning_path / me.coaching_context. Confirms the stage_slug + course_slug pair in the response so the user can see which stage was credited.
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  • Tracks a job from jobs_search results in the user's job tracker, identified by its job_id. For a job found elsewhere on the open web (with a URL but no jobs_search job_id), tracker_add_external is the right tool instead. Fields: - `job_id`: the job ID from jobs_search results (required) - `status`: initial status (saved, applied, interviewing, offered, archived); defaults to "saved" - `sub_status`: sub-status within the main status - `notes`: notes about the job Returns the tracked job with its details, or an error if it is already tracked. A job that was previously removed from the tracker is restored with its earlier status and notes.
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  • Begin connecting an email account (or reconnecting one whose access expired) by returning a secure Mailopoly link for the user to open. Pass email_or_provider (the address or provider they want to add) for a NEW connection, or account (an existing connected address) to RECONNECT one flagged reauthorization_required. The link opens Mailopoly's own page where they sign in (OAuth) or enter an app password — the password is NEVER typed into the chat. For IMAP users, call get_connect_instructions first so you can tell them how to get their app password, then give them this link. Relay the returned url to the user.
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  • Create a REAL LexVibe app in the user's account (replaces any YOUR_APP_ID placeholder). Returns a claim link: show it to the user so they can sign in and confirm — the link expires in 30 minutes. On confirmation LexVibe creates the app, scans the URL (if given), generates and hosts the legal documents. After the user confirms, call get_claim_status with the returned code to retrieve the real app id and install snippet. Provide at least `url` or `appName`.
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  • Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates). # fetch_notes ## When to use Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates).
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  • Save a new note with learned knowledge or procedures. Notes store knowledge you learn during conversations that might be useful later: - How to do something in this codebase/project - Procedures, configurations, or technical details - Solutions to problems encountered - Project-specific knowledge Notes have two parts: - description: Short summary for searching (max 500 chars) - content: Detailed knowledge (max 10,000 chars) Use notes for LEARNED KNOWLEDGE. Use facts for TRUTHS ABOUT THE USER. Examples: - description: "How to deploy this Next.js project to Vercel" content: "1. Run 'vercel' command... 2. Configure environment variables..." - description: "Database migration process for this project" content: "Migrations are in supabase/migrations/. To apply: npx supabase db push..." SELF-LEARNING (scope="ai_client"): Your persistent memory across conversations. Save a note whenever you learn something worth remembering — don't wait, save as you go. Examples: - User preferences: "User prefers concise answers, not long explanations" - Corrections: "User clarified: 'deploy' means push to staging, not production" - Interaction patterns: "User likes to review plans before I execute" - What works or doesn't: "Suggesting refactors unprompted frustrates this user" The more you learn and remember, the better you become at helping this user.
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  • Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.
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  • Get an overview of the Second Brain: counts of notes, containers, tags, and inbox items, plus recent_notes (the 5 most recently created personal notes) and recent_changes (the 5 most recently edited notes across ALL spaces — personal, teams, and shared containers — newest edit first). Use recent_changes to orient at the start of a conversation on what changed lately everywhere. No parameters required.
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  • Move a note to Trash. This is RECOVERABLE — the note (with its body, attachments, and history) is restorable with notes-restore until its purge date (default 30 days); it is not an immediate permanent erase. Deleting the wrong note can be undone with notes-restore. Works on your own personal notes and on team notes where you have the editor role. You cannot delete notes in a shared container (only the owner can). Required: id (integer).
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  • Generate Bring-Your-Own-Storage (BYOS) configuration for an UploadKit Next.js handler — environment variables, handler code, and setup notes for a specific storage provider. When to use: the user wants to store uploads in their own cloud bucket instead of UploadKit's managed R2. Typical triggers: compliance/data-residency requirements, existing bucket infra, desire to avoid vendor lock-in. Returns: a plain-text string with three sections — provider-specific notes, the .env variable block, and the TypeScript handler code. Credentials are always server-side; the browser never sees them. Read-only, deterministic. No network calls, no secrets exposed.
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