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261,377 tools. Last updated 2026-07-05 12:09

"Allowing Claude Desktop to manage and access an Obsidian library" matching MCP tools:

  • Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.
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  • Полный pipeline: URL -> вердикт в SQLite + Obsidian vault. ВАЖНО: долгая операция, ~10-20 мин на 300 комментов (haiku 10м + sonnet QA 8м). `qa=False` — пропустить sonnet-эскалацию (быстрее, но без QA-метрик). Возвращает verdict_id + summary (hard_counts + mood + QA-stats). На публичном сервере отключён env-флагом PJQ_PUBLIC_CLASSIFY_DISABLED=1 — синхронный classify не выдерживает параллельной нагрузки и угрожает Claude Max-подписке. Замена на job queue + worker в работе.
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  • Public observability snapshot for the fomox402 broker. WHAT IT DOES: returns aggregated MCP traffic + per-tool call telemetry. Read-only, no auth required, no side effects. WHEN TO USE: for dashboards, health checks, or to verify the broker is alive before a long autonomous run. The /v1/stats/mcp endpoint that backs this tool is also what powers https://bot.staccpad.fun/dashboard. RETURNS: { sessions: { active, last_24h, lifetime, median_duration_sec }, tools: [{ name, calls, errors, error_rate }], uptime_sec, broker_version }. VISIBILITY CAVEAT: only counts streamable-HTTP traffic to https://bot.staccpad.fun/mcp. Local stdio MCP clients (e.g. Claude Desktop running this file directly) are invisible to the broker DB and not reflected here. RELATED: list_agents (per-agent activity), get_me (your own stats).
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  • 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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  • Get live interest rates from the Federal Reserve (FRED). Returns SOFR, 10-year Treasury, 5-year Treasury, Fed Funds Rate, and 30-day SOFR average. Also calculates implied cap rate ranges based on current treasury spreads. Use this BEFORE any DCF model or loan underwriting. These are real-time numbers Claude cannot access on its own.
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  • Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.
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Matching MCP Servers

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    Enables Claude Code to send prompts to Claude Desktop using macOS automation and AppleScript. Supports conversation management and configurable response polling, though reading responses back is limited by Electron's accessibility APIs.
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Matching MCP Connectors

  • Search your Obsidian vault to quickly find notes by title or keyword, summarize related content, a…

  • Browse, search, rename, and favorite your Tolstoy media library from any AI client.

  • MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. How the bytes get uploaded depends on WHERE you run, and the discriminator is network access to the URL, not shell access: (a) Claude.ai (web, desktop, or mobile app): this tool renders an inline upload widget. The user drops the image into it; it uploads from their browser and pushes the file_id back automatically. Your code-execution sandbox has NO network route to the signed URL — a chat attachment sitting on the sandbox filesystem does NOT mean you can upload it. NEVER attempt curl/fetch/Python uploads from a sandbox and never investigate domain allowlists; just ask the user (one short sentence) to drop the image into the widget, then stop and wait. (b) Claude Code / a CLI with a real shell on the user's machine: run the ready-made curl PUT from the response text. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.
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  • Upload a local image OR short MP4 video from the user's machine into Caulo, returning an asset_id ready to attach to create_post or add_comment. The file path is read on YOUR machine (the Claude Desktop process running locally), so this only works when Claude has filesystem access. Hosted agents (claude.ai, ChatGPT, future MCP-over-HTTP) cannot use this tool — those flows use create_post_with_upload_link (slice 7.B, post-upload link). Pipeline: (1) `~/` is expanded; the path is resolved through symlinks and confirmed to live under $HOME, (2) the bytes are magic-byte-checked locally (and for videos, duration is probed via ffprobe) so an unsupported / over-cap file fails fast without burning a quota slot, (3) the file is uploaded to caulo.ai's media-staging bucket via a one-shot signed URL, (4) the same Tier 0 / Tier 1 / Tier 2 pipeline that protects the web composer runs — for images Sharp re-encodes inline; for videos a Render worker transcodes via ffmpeg, extracts 3 keyframes, runs perceptual-hash kNN, and calls Haiku Vision on all frames in one call. Image processing is synchronous (~1 s); video processing is async and this tool polls for up to 3 minutes until the worker finishes. Returns { asset_id, status: 'approved' | 'rejected', nsfw_level?, video_url?, poster_url? }. A rejected upload is the moderation pipeline doing its job — relay the reason to the user and DO NOT retry the same file. JPEG/PNG/WebP up to 10 MB; MP4 up to 50 MB and 30 s.
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  • Compose a post with an attached image OR short MP4 video WITHOUT needing filesystem access on the agent's machine. This is the cross-surface alternative to `upload_media_from_path` — it works from claude.ai, ChatGPT, ANY agent surface, because the actual file upload happens in the user's browser, not the agent's process. USE WHEN: the user wants to share a photo or video and you're running anywhere that ISN'T local Claude Desktop (no filesystem access). Examples: claude.ai chat, ChatGPT with this MCP server, mobile web. In those contexts `upload_media_from_path` will fail. FLOW: (1) you call this tool with the post text + optional community, (2) tool returns `{ token, upload_url, expires_at }`, (3) show the upload_url to the user — they click it, sign in to caulo.ai (if not already), pick a file (JPEG/PNG/WebP up to 10 MB OR MP4 up to 50 MB and 30 s) from THEIR device, (4) when the upload moderation passes, the post is created and visible. For videos, moderation runs out-of-process and takes up to ~3 minutes — the upload page polls for the user; they just wait for it to complete. The link is single-use, 15-minute TTL, bound to the user — nobody else can use it even if it leaks. Return the upload_url to the user as a clickable link with a clear call-to-action like 'Click here to pick a photo or short video: <url>'. Do NOT auto-retry if the user doesn't click within 15 minutes — mint a new link instead.
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  • Discover AXIS install metadata, pricing, and shareable manifests for commerce-capable agents. Free, no auth, and no mutation beyond read access. Example: call before wiring AXIS into Claude Desktop, Cursor, or VS Code. Use this when you need onboarding and ecosystem setup details. Use search_and_discover_tools instead for keyword routing or discover_agentic_purchasing_needs for purchasing-task triage.
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  • Public observability snapshot for the fomox402 broker. WHAT IT DOES: returns aggregated MCP traffic + per-tool call telemetry. Read-only, no auth required, no side effects. WHEN TO USE: for dashboards, health checks, or to verify the broker is alive before a long autonomous run. The /v1/stats/mcp endpoint that backs this tool is also what powers https://bot.staccpad.fun/dashboard. RETURNS: { sessions: { active, last_24h, lifetime, median_duration_sec }, tools: [{ name, calls, errors, error_rate }], uptime_sec, broker_version }. VISIBILITY CAVEAT: only counts streamable-HTTP traffic to https://bot.staccpad.fun/mcp. Local stdio MCP clients (e.g. Claude Desktop running this file directly) are invisible to the broker DB and not reflected here. RELATED: list_agents (per-agent activity), get_me (your own stats).
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  • Get a humantaste.app URL where a human can place a consult_domain_expert order from a browser (Connect MetaMask, pay $15 USDC on Base, session created). Use this when your MCP client has no wallet integration (Claude Desktop, generic chat UIs). The URL is pre-filled with the brief you pass in; the user just opens it, reviews, connects a wallet, and pays. Returns the payment URL and the price. Free.
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  • Get a presigned HTTPS URL to download the completed output file. Call after get_job_status returns 'complete'. URL expires in 24 hours. NOTE: fetching this URL is a direct S3 download, which is BLOCKED in sandboxed agent environments (claude.ai, Claude Desktop, Cursor). If you are in a sandbox, use get_output_content instead to receive the bytes inline over the tool channel.
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  • Convert a document inline — pass the content directly as a string (or base64 for binary inputs like .docx). PREFERRED route for documents, and the one to use in sandboxed agent environments (claude.ai, Claude Desktop, Cursor): it runs entirely server-side, so it never needs the S3 upload those sandboxes block. Limit: up to 4 MB of content — already huge (a 500-page book is ~1 MB of text). For anything larger, use convert_from_url with a public URL. Supported inputs: md, html, rst, txt (plain text), docx (base64). Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx. Returns a job_id — poll get_job_status until 'complete', then get_output_content (inline bytes, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file. TIP: if you have shell access and are NOT sandboxed (e.g. a local coding agent), the `botverse` CLI (`npx botverse convert <file> --to <fmt>`) is faster for local files — it streams from disk instead of re-emitting the content through the model.
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  • Returns the authenticated user's current library loans including due dates. Requires mcp_session_id with the LIBRARY provider linked via start_auth. Returns AUTH_REQUIRED with a loginUrl if LIBRARY is not authenticated — show the loginUrl to the user and ask them to open it in a browser, then retry this call with the returned mcp_session_id.
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  • Get a Stripe Billing Portal URL for the human to manage their subscription — update payment methods, view invoices, change plans, or cancel. Requires an existing Stripe subscription.
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  • Send an announcement to ALL guests of a live event you manage — one message delivered by email (to guests with an address on file, minus unsubscribes) AND as an in-app push notification. Provide subject + message. Use when the host wants to tell their guests something (a time/venue change, a reminder, a thank-you). Outward-facing and can't be unsent — confirm the wording with the host first. Requires event_id; host only.
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  • Connect Signal to Local MCP. Reports whether Signal Desktop is installed and signed in, and tells you exactly what to do next — install Signal, or open it and link your phone. (Signal links inside its own desktop app, so the QR is shown there, not here.) Once you're signed in, signal_list_chats / signal_read_messages work. If Signal is already connected, it just reports that.
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  • Lists channels in a Slack workspace, including public channels, private channels, and direct messages (DMs). Reads from the local IndexedDB cache — only channels that Slack Desktop has synced to disk are returned. Pass workspace_id from slack_list_workspaces to filter to a specific workspace.
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