"Automatically download and vectorize online project documentation for local knowledge storage" matching MCP tools:

• send_message

  Fast MCP Telegram

  Send text and optional file attachments to a Telegram chat. Supports reply-to (including forum topics and channel discussion groups), auto-detected or explicit parse_mode (markdown/html), and file attachments as http(s) URLs, local paths, or data: URIs. When files are provided, the message text becomes a caption. For channel posts with reply_to_id, automatically posts in the linked discussion group. Success: dict with message_id, date, chat, text, status='sent', and sender info. Error: dict with ok=false and error string. Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• resize_database_storage

  Dockhold

  Grow the disk of an app's managed database. Call this when the database is running out of disk space. GROW-ONLY: you can increase storage but never shrink it. storage_gb must be one of the sizes get_resource_usage reports under storage.steps_gb and fit your storage pool. Applied online with no database restart. Only works if the app has a managed database.

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• files_info

  DialogBrain

  Get metadata and download URLs for files by their IDs. When to use: - After messages_read_history returns attachment_file_ids - To get a presigned download URL to read a received file Returns: filename, mime_type, byte_size, download_url (1-hour presigned URL).

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• upload_media

  SendIt

  FOR CLAUDE DESKTOP ONLY (with filesystem access). For Claude.ai/web: Use create_upload_session instead - it provides a browser upload link. Upload local media to cloud storage, returning a public HTTPS URL. WHEN TO USE: • Instagram, LinkedIn, Threads, X: REQUIRED for local files before calling publish_content • TikTok: NOT NEEDED - pass local path directly to publish_content SUPPORTED FORMATS: • Images: jpg, png, gif, webp (max 10MB) • Videos: mp4, mov, webm (max 100MB) Returns { url: 'https://...' } for use in publish_content mediaUrl parameter.

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• fvs_download_final_video

  Future Video Studio

  Download a completed Future Video Studio final render URL to a local file. Use this only after fvs_get_render_status or fvs_get_paid_render_status returns a final_video_url for a completed render. The tool performs an unauthenticated HTTPS GET to that signed URL and writes the response bytes to output_path on the MCP server's local filesystem. It does not call the FVS Agent API, spend wallet credits, require FVS_AGENT_API_KEY, cancel jobs, or modify remote render state. Side effects and constraints: output_path is a local filesystem path for the MCP server process, parent directories are created, existing files are not replaced unless overwrite is true, and large videos may take minutes to download. The request timeout is 600 seconds. Use a fresh status check to refresh expired signed URLs, and do not pass arbitrary or untrusted URLs.

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• send_message

  fast-mcp-telegram

  Send text and optional file attachments to a Telegram chat. Supports reply-to (including forum topics and channel discussion groups), auto-detected or explicit parse_mode (markdown/html), and file attachments as http(s) URLs, local paths, or data: URIs. When files are provided, the message text becomes a caption. For channel posts with reply_to_id, automatically posts in the linked discussion group. Success: dict with message_id, date, chat, text, status='sent', and sender info. Error: dict with ok=false and error string. Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• search

  Melvea Local Honey Discovery

  Search the Melvea local honey directory by free-text query and return matching producers as a list of results (id, title, url). Designed for ChatGPT Deep Research and Company Knowledge. Use for any local-honey discovery query that names or implies a place; the tool parses place and varietal from the query. Returns an honest empty list when nothing matches — never fabricate. Pair with fetch to retrieve full producer detail.

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• ship_project

  shipyard

  Publish a new project to Shipyard under your account. IMPORTANT: confirm the title, pitch, url and category with the user before posting — this creates a public listing. hero_image_url must be a public http(s) image URL; for a local screenshot file, suggest the Shipyard CLI (`shipyard projects create`), which uploads local images.

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• create_database

  tmpstate

  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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• upload_post_cover_from_url

  FavCRM

  Download an external image URL into R2 and attach it as the post's featuredImage. Replaces the manual flow of pasting external URLs (which break when the source goes down). Validates content-type starts with `image/` and rejects payloads larger than 20 MB. No AI credits charged — only standard storage.

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• save_note

  anamnese

  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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• casa_store

  casa

  Store bytes on Casa (Swarm). Costs $0.01 in USDC via x402. PRIVACY: pass `encrypted_blob` (base64 of a Casa envelope you sealed locally) to stay zero-knowledge — PREFERRED. If you pass plaintext (`text` or `content_base64`) instead, the server sees it and the response will carry encrypted:false. PAYMENT: pass `payment_header` (a signed x402 `X-PAYMENT` value); without it you get the 402 quote back as an error. For automatic local encryption + payment, use the local `casa-mcp` stdio server instead.

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• subscribe_addon

  EchoRelay

  Subscribe the project owner to a monthly add-on (RPM upgrade, team seat, extended log retention, extra file storage in +5 GB blocks, …). Charges the saved payment method immediately, then auto-renews every 30 days until `unsubscribe_addon` — or until the subscription ends, after which the already-paid cycle stays active to its own end date and stops without further charges. Requires an active Pro/Scale subscription and a saved PM. RPM upgrades (rpm_*) are per-project and apply to THIS project automatically. Returns `{addonKey, project, monthlyEurCents, transactionId, activatedAt, nextRenewalAt}`. Owner-only; requires a token minted with the billing scope.

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• brain_push

  Vaaya

  Add a fact to the COMPANY brain — the shared org knowledge graph every teammate's agent reads. Use when the user explicitly wants to save/remember something for their whole company/team (e.g. "save that Acme uses Salesforce to the company brain"). The fact is added DIRECTLY and immediately (no approval step). Only works for an active member of a company brain (a company-email-domain user who hasn't been removed); others get an error. Personal facts are captured automatically by `consult` — only use `brain_push` for deliberate company-wide knowledge. Pass `fact`. Free; returns { ok, message } or { ok:false, error }.

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• hf_doc_search

  Hugging Face

  Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. Knowledge up-to-date as at 7 July 2026. Combine with the Product filter to focus results.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• delete_file

  Sweeppea MCP

  DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. # delete_file ## When to use DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. ## Parameters to validate before calling - file_token (string, required) — The file token (UUID) of the file to delete. Get via fetch_files. ## Notes - DESTRUCTIVE — IRREVERSIBLE. Always confirm with the user before calling. Explain what will be lost.

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• x711_web_search

  x711 — Universal Agent Gas Station

  Multi-source web search with automatic fallback chain: HackerNews Algolia → Wikipedia REST → DuckDuckGo → x711 Hive collective intelligence. Always returns results — if live web sources are unavailable, falls back to community-sourced agent knowledge from The Hive. Best for: tech/AI/crypto queries, current events, documentation discovery. Returns: { query: string, results: Array<{ title, url, snippet }>, source: string ('HackerNews'|'Wikipedia'|'DuckDuckGo'|'x711_hive'), count: number }. Free tier: 10 calls/day, no API key needed.

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• aidefense_evaluate_program

  website-search

  Get the AI Defense Matrix evaluation playbook for assessing an AI security program: per-cell prompts, gap-inventory template, and a workflow that walks each asset class first and rolls findings up to the Govern column. Supports mode='gate' for binary deployment-gate decisions (returns the deployment-gate workflow plus gate-tier prompts only) and consumerPattern for scoping to consumed-vs-built AI deployments. The AI applies these prompts against your program documentation locally, and no program details leave your client. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

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• collections_delete

  dialogbrain

  Delete a knowledge collection. If the collection is assigned to agents, prompts, or channels, pass force=true to delete anyway. CASCADE removes all assignments automatically.

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