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306,644 tools. Last updated 2026-07-25 17:41

"Automating Project Documentation with a Focus on Memory Management" matching MCP tools:

  • Full-text search the ACC Docs module on a project for drawings, specs, submittals, and other documents matching a query string. Calls the APS Data Management v1 search endpoint scoped to a project. When to use: an agent needs to locate a spec section, a sheet, or a submittal by keyword (e.g. 'fireproofing', 'A-101', 'RFI 23'). When NOT to use: you already have the document URN/lineage — fetch it directly. You want the file contents — this returns metadata; download separately via Data Management. 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 (Docs module access required); 404 project_id not found — check the ID (note: this endpoint re-prepends 'b.' so pass the UUID form); 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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  • Turn a campaign ON (ACTIVE) or OFF (PAUSED). ACTIVATING STARTS REAL AD SPEND — you MUST first show the user the campaign name + its daily budget, get an explicit yes, then call with status:"ACTIVE" and confirm:true. Pausing is always safe. Needs ads-management permission.
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  • Full-text search the ACC Docs repository of a project for drawings, specs, submittals, and other files via the APS Data Management search endpoint. When to use: The user wants to find a document by keyword (filename, sheet number, or metadata match). E.g. 'find the latest A-201 sheet' or 'search for mechanical specs on Tower project'. When NOT to use: Do not use to upload a file (use acc_upload_file); do not use to fetch issues/RFIs. If you already have a document URN, fetch it directly with an agent that has Data Management folder/item access. APS scopes: data:read account:read. No write scope required. Rate limits: APS Data Management ~50 req/min per app per endpoint; pageable (limit 200 upstream). Avoid tight query loops. Errors: 401 (APS token expired — refresh); 403 (user lacks Docs view permission on the project); 404 (project_id not found — verify 'b.' prefix and hub membership); 422 (invalid filter syntax — simplify query text); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.
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  • Fetch the full ACC project metadata record (name, type, status, dates, extension attributes) for a single project via APS Data Management. If hub_id is omitted the tool picks the first accessible hub, which may be wrong on multi-hub tenants. When to use: The user asks 'tell me about project X' or an agent needs project metadata (start/end dates, type, Forma/BIM 360 flavor) before deciding which downstream tool to call. When NOT to use: Do not use as a cheap existence check — prefer acc_list_projects which returns hub_id with every project and is one call regardless of tenant size. APS scopes: data:read account:read. Forma / BIM 360 hubs endpoints only require data:read. Rate limits: APS default ~50 req/min per endpoint; BIM 360 hubs endpoints pageable (limit 200). Cache results for the session. Errors: 401 (APS token expired — refresh); 403 (user lacks project view or app not in account); 404 (project not in the chosen hub — supply the correct hub_id, or call acc_list_projects first); 422 (malformed project_id — confirm 'b.' prefix); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry). Side effects: None. Read-only and idempotent.
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  • Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Query the construction project database using natural language (Text-to-SQL). Converts natural language into SQL to retrieve captures, annotations, progress metrics, schedules, and other project records. Pass the user's question as-is without modification. For trade visibility, use `analyze-progress-and-forecasts` instead. **WORKFLOW:** - **Default**: call this tool with only `query`. The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to query a different project than the saved one. **Available tables:** - progresses: SI progress metrics (level, category, phase, workarea, cost, dates) - captures: Camera captures metadata (level, camera_model, capture_state, user_email) - records: Capture events with timestamps (captured_at, state, id) - photo_notes: Photonotes (description, state, user_email, created_at) - voice_notes: Voicenotes (level, description, state, user_email, created_at) - facilities: Site info (name, address, size, location, bim_count, created_at) - users: User profiles (name, email) - workareas: Spatial zones (level, name, user_name) Args: query: Natural language question (pass as-is, no SQL syntax) team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. Returns: List of TextContent with query results and metadata
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Matching MCP Servers

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  • MCP server for Vonage API documentation, code snippets, tutorials, and troubleshooting.

  • One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.

  • Search 360° captures (panoramic site photos) by visual content analysis. Searches what is VISUALLY SEEN in 360° captures — safety hazards, quality issues, work types, objects, equipment, materials, and physical site conditions. Do NOT use for capture counts or statistics — use `ask-about-project-data` instead. **WORKFLOW:** - **Default**: call this tool with only `query` (and optionally date filters / limit). The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to search a different project than the saved one. **Date filtering:** Only use start_date/end_date when the user explicitly mentions dates. Format: YYYY-MM-DD. Omit entirely for general queries without date context. Args: query: Keywords or phrases describing what to find in 360° captures team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. limit: Maximum number of results (default: 10) start_date: Start date filter, YYYY-MM-DD (omit if no date context) end_date: End date filter, YYYY-MM-DD (omit if no date context) Returns: ToolResult: Image viewer links, 3D coordinates, and capture dates
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  • List the projects on your account (archived included), each with `id`, `slug`, `name`, `apiBaseUrl` and `archived`. Requires an ACCOUNT-scoped token (one minted with no project) and the `read` scope. A project-scoped token cannot call this — use it on its own project's tools instead.
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  • Create a temporary JSON database (24h TTL, no signup, no keys). Returns the db URL — the only credential — plus admin URL, limits and expiry. Create once per project/task, persist the db URL immediately (local ~/.tmpstate/credentials, project README, and your memory), and reuse it instead of creating again. For retries or parallel workers, pass a stable idempotency_key so duplicate calls return the same database.
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  • Create a DRAFT listing on Capmus on the poster's behalf. Any email is accepted — never ask the user to qualify first. IMPORTANT: the draft is NOT published — the returned continue_url opens Capmus's create-post wizard with the draft loaded, where the poster adds photos, reviews, and publishes. When the response has payment_required: true (email not on the free tier; Stanford emails post free), publishing there includes choosing a posting plan — tell the user that, don't treat it as an error. Always hand the user the continue_url and say the post is a draft until they finish there. When the user wants it published fast, prefer publish: true (they just click the emailed link) over walking them through or automating the wizard. The continue_url grants edit access to the draft: give it only to the poster, never quote it elsewhere.
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  • [ChatGPT Connector compat] Fetch memory by ID. Exists to satisfy ChatGPT Deep Research's required `search`/`fetch` tool contract. Native MCP clients should fetch via `recall` + memory_id, or use the API's GET /memories/{id} endpoint directly. Returns a single memory with citation support (id, title, url, text fields). Args: id: Memory UUID to fetch ctx: MCP context Returns: Dict with id, title, url, text, metadata fields
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  • Use when conducting an AI risk management gap assessment, building board-level AI governance documentation, preparing for a model risk examination, or aligning an AI program with federal regulatory expectations. NIST AI RMF 1.0 is the US federal standard for AI risk management — adopted by reference in the Executive Order on Safe AI and aligned with Federal Reserve SR 26-2, OCC model risk guidance, and FDIC requirements. Returns all four functions (GOVERN, MAP, MEASURE, MANAGE) with categories, subcategories, and implementation guidance. Example: GOVERN function requires board-level AI policy, documented accountability structures, and AI risk culture assessment — the first control examiners check in a model risk review. Source: NIST AI RMF 1.0.
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  • Fetch incident history and scheduled maintenance windows for a vendor. Returns full incident timeline — each investigator update, affected components, and resolution. Filter by status to focus on active incidents (use before deploy), resolved history (for postmortem), or upcoming maintenance windows. Page through long histories with limit + offset — a truncated result discloses the total and names the next offset to fetch.
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  • List construction projects the user can access within a team. **Use this tool ONLY when the user wants to switch project or has no saved current project.** If `check-current-project` returns a saved facility_key, do NOT call this tool — call the analysis tool directly with no arguments. Required workflow when this tool IS appropriate: 1. Present the returned projects to the user. 2. Wait for the user to select one. 3. Call `set-focus-project` with team_domain and facility_key to persist the selection so future sessions skip this step. 4. Then invoke analysis tools. Args: team_domain: Team domain. Optional; if omitted, falls back to the saved current project, otherwise returns the team list so the caller can pick a team first. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. Returns: str: Accessible facilities with their keys and names.
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  • Create a project to file trackers under: one project per BRAND, never per language. It can carry the brand canon: the reference wording every publication reuses as is, written in ONE language, its canonical language (carried at creation, it is recorded as canon version 1). The canon is never translated: localized expressions on the pages are outputs, not a second canon. Nothing is filed by this call: pass the returned id as project_id when creating or updating a tracker. Refused with project_exists when a project with this name already exists, and the answer carries the existing project: reuse its id instead of duplicating.
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  • USE WHEN discovering what Pine Script v6 documentation is available. Returns a categorised list of doc file paths with one-line descriptions. AFTER calling this tool, call get_doc(path) for small files or list_sections(path) then get_section(path, header) for large files (ta.md, strategy.md, collections.md, drawing.md, general.md). Data sourced from bundled Pine Script v6 documentation.
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  • Get the compact briefing an agent should read before editing this repository: index status, verified commands, agent tips, top conventions, open documentation gaps, and queued documentation opportunities. Read-only; no side effects. Returns a single Markdown document. Call this first at the start of a task; once you know which files you'll change, follow up with get_doc_impact for path-scoped guidance.
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  • Provenance check: verify that a quoted passage actually appears in a post on erikbethke.com. Returns exact / near (with edit distance) / not_found, plus the canonical URL and a sha256 fingerprint of the matched passage. Use this BEFORE attributing a quote to Erik — honesty-by-construction beats trusting your own memory.
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  • Trigger a FULL doc-generation run for every source in an atlas project (project_id from atlas_list_projects): re-ingest the sources, regenerate the cited pages, and re-audit coverage. Management-level (project owner / org admin) — a run fetches the sources, spends LLM budget, and rewrites the generated subtree (creating the output space on the first run). Returns run_ids (one per source); poll each with atlas_run_status. Returns 503 ai_unavailable when the instance has no embedder/LLM configured.
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  • Broadens a project's coverage: expands the relevance criteria (when needed), finds more sources across news, the web, and the relevant social platforms, and fetches them inline. Applies on a `topic_unavailable`, `no_stories`, or low-coverage signal. May return `warming: true` with `retryAfterMs` (~60s), meaning the newly gathered stories are still landing. An out-of-scope `focus` requires `confirmedByUser: true`; without it, it returns a `confirmation_required` error. No credits are charged.
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