"Integrating Claude Desktop with a Local LLM using the LMStudio API" matching MCP tools:

• create_snapshot

  BorealHost

  Create a local container snapshot (async). Runs in background — returns immediately with status "creating". Poll list_snapshots() to check when status becomes "completed" or "failed". Available for VPS, dedicated, and cloud plans (any plan with max_snapshots > 0). Local snapshots are stored on the host disk and count against disk quota. Requires: API key with write scope. Args: slug: Site identifier description: Optional description (max 200 chars) Returns: {"id": "uuid", "name": "snap-...", "status": "creating", "storage_type": "local", "message": "Snapshot started. Poll list_snapshots() to check status."} Errors: VALIDATION_ERROR: Max snapshots reached or insufficient disk quota

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• x711_llm_routing

  x711 — Universal Agent Gas Station

  Routes a prompt to the best available LLM. Two backends: 1. DEFAULT — Hugging Face (Qwen2.5-7B, free with API key) 2. PREMIUM — OpenVecta (GLM-5.2 and more, set provider:'openvecta') Use ONLY when you need external LLM help. Never for things you can answer from context. Returns: { response: string, model: string, provider: string, tokens_used?: number }

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• list_tools

  tickerr

  List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.

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• check_local_viability

  Local Model Suitability MCP

  Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.

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• get_stats

  fomox402

  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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• x711_llm_routing

  x711

  Routes a prompt to the best available LLM. Two backends: 1. DEFAULT — Hugging Face (Qwen2.5-7B, free with API key) 2. PREMIUM — OpenVecta (GLM-5.2 and more, set provider:'openvecta') Use ONLY when you need external LLM help. Never for things you can answer from context. Returns: { response: string, model: string, provider: string, tokens_used?: number }

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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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• gdrive_root

  local-mcp

  Lists the Google Drive folders synced on this Mac (My Drive, Shared drives, per-account mounts). Start here to get valid paths for the other gdrive_* tools. Reads the folder Google Drive for Desktop already syncs — no Google API, no OAuth.

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• signal_send_message

  local-mcp

  Preview (and get send guidance for) a message to a Signal chat. NOTE: Signal Desktop exposes no local send API — the Signal integration reads the local database read-only — so LMCP cannot transmit Signal messages directly. The first call (confirm=false or omitted) returns a preview. Pass confirm=true to get step-by-step guidance for completing the send. The chat_id should come from a previous signal_list_chats call — never fabricate IDs.

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• lamina_upload_asset

  lamina

  Get a pre-signed upload URL for one user-supplied asset (image, video, or audio). Use this when the user provides a local file you need to feed into `lamina_run` (or `lamina_create.inputs`) as a URL parameter (e.g. `your_photo_image_url`, `product_image_url`, `brand_logo_url`). How to use: - Pass `filename` (the name to register, e.g. "selfie.jpg") and `mediaType` ("image" | "video" | "audio"). - This tool returns `{ uploadUrl, assetUrl, contentTypeHint }`. The `uploadUrl` is a pre-signed PUT URL; the `assetUrl` is what you eventually pass to `lamina_run` (or pre-supply in `lamina_create.inputs`). - THE BYTES DO NOT GO THROUGH THIS TOOL CALL. After this returns, perform an HTTP PUT of the file bytes directly to `uploadUrl` with the `Content-Type` header set to `contentTypeHint` (or override). When the PUT completes (200), the asset is live at `assetUrl`. If your host has shell access (Claude Code, Cursor): execute `curl -X PUT --data-binary @<local-path> -H 'Content-Type: <contentTypeHint>' '<uploadUrl>'` to upload, then call `lamina_run` with `assetUrl` in the relevant input (or pre-supply it to `lamina_create.inputs` so the router doesn't re-ask). If your host doesn't have shell access (Claude Desktop, Claude.ai, ChatGPT): tell the user honestly that you cannot move the bytes from your context to Lamina's storage, and ask them to provide a publicly-reachable URL of the asset (or upload via the Lamina CLI / SDK from a shell), then continue with that URL. Asset URLs returned here are stable and can be reused across multiple runs. There is no need to re-upload between dispatches of related runs.

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• chieflab_set_provider_key

  ChiefLab

  Store a provider API key for THIS workspace. Once stored, ChiefLab uses your key (BYOK — you pay the provider directly, no markup). Without it, ChiefLab uses its own key and bills through with a margin. Providers: gemini (image gen), resend (email), zernio (social publish), anthropic (LLM, future), openai (LLM, future). Stored encrypted at rest. Use chieflab_revoke_provider_key to remove. The key never leaves this workspace.

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• get_stats

  fomox402 — Last-Bidder-Wins on Solana

  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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• prepare_consult_domain_expert

  Taste

  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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• trace_from_image

  kernelcad

  Use this when you need to trace features from a reference photo into waypoints. Trace pixel-space features from a reference photo into normalized [0..1] waypoints the agent can map to mm via a known scale anchor and feed to path().spline / path().nurbsSegment. Three backends are dispatched behind the scenes: `opencv` (deterministic; uniform-bg silhouette only), `vision-llm` (Claude vision; named points/cluttered backgrounds; caller-supplied ANTHROPIC_API_KEY), and `hybrid` (opencv silhouette + LLM-labeled named points). Default backend is `auto` — the tool picks based on the image's corner-color stddev. Accuracy honesty: opencv contour is geometrically exact; vision-LLM is typically 5–10% off on dense landmarks. Per-feature `confidence` is reported. Caller pays for any vision-LLM API spend via their own ANTHROPIC_API_KEY. Pair with the `kernelcad-trace-from-image` skill for the conversion-to-mm pipeline.

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• get_download_url

  Botverse

  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_content

  Botverse

  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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• get_setup_instructions

  FundingLandscape

  Return MCP setup instructions for Claude Desktop and other clients. Does not count toward your monthly searches.

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• signal_connect

  local-mcp

  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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• slack_list_channels

  local-mcp

  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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• slack_read_channel_messages

  local-mcp

  Reads recent messages from a Slack channel or DM. Reads from the local IndexedDB cache — only messages that Slack Desktop has synced to disk are available (typically the last few hundred messages for active channels). channel_id must come from slack_list_channels.

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