"MCP servers that can be triggered by uvx or npx" matching MCP tools:

• setup_instructions

  Coal — Payments for AI agents

  Print step-by-step instructions for using Coal MCP from Claude / Cursor / any MCP client. Run this FIRST if you are unsure how to authenticate or which credentials to provide.

  Connector

• submit_urls

  bulk-url-checker

  Submit a list of URLs to be checked. Returns a job_id that can be polled via get_job_status or fetched via get_job_results. For up to ~200 URLs this tool waits for completion (up to 60 seconds) and returns the results directly; for larger jobs it returns early with job_id and the agent should poll.

  Connector

• ateam_redeploy

  ateam-mcp

  Re-deploy skills WITHOUT changing any definitions. ⚠️ HEAVY OPERATION: regenerates MCP servers (Python code) for every skill, pushes each to A-Team Core, restarts connectors, and verifies tool discovery. Takes 30-120s depending on skill count. Use after connector restarts, Core hiccups, or stale state. For incremental changes, prefer ateam_patch (which updates + redeploys in one step).

  Connector

• search_mcp_servers

  Swarm Tips — Aggregated AI Agent Activities

  [IN DEVELOPMENT] [READ] Search the Layer 3 curated directory of MCP servers and agent-work tools. The directory has 30 entries across three vetting tiers — `first-party` (operated by the swarm.tips DAO), `vetted` (third-party, we've used + verified), `discovered` (cataloged from public sources, not yet exercised). Filter by `query` (substring vs name/description/tags), `category` (substring), and `tier`. Results sort first-party → vetted → discovered. The same directory powers swarm.tips/discover; this tool exposes it programmatically. Use this when an agent needs to find an MCP server for a capability (DeFi, search, browser automation, etc.) instead of an opportunity (which `discover_opportunities` covers).

  Connector

• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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• licium_discover

  Licium

  Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.

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• agents_update

  DialogBrain

  Update an existing AI agent's configuration. All parameters are optional — only provided fields will be updated. Use this to: - Enable or disable an agent - Change agent name or description - Assign or detach a prompt - Change default send mode - Replace knowledge collections - Update agent status - Change agent priority for trigger matching (lower number = higher priority) - Override which tools the agent can/can't call on triggered runs - Override which context sections (situation, communication style, job state, conversation history, thread summary) the agent receives - Opt into boilerplate prompt sections (safety guidelines, data confidentiality, factual accuracy) — all default OFF

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• propose_mailbox_md_edit

  mailbox

  Propose changes to the renter's MAILBOX.md instructions with reasoning. The renter will see your suggestion in their dashboard and can accept, reject, or modify it. Use this when you observe patterns that could be codified into standing instructions.

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• delete_template

  Carbone MCP

  Delete a stored Carbone template. This is a soft delete: the template is marked for garbage collection and removed after a delay (default 24 hours). You can delete by Template ID (removes all versions) or by Version ID (removes only that specific version). For immediate or scheduled deletion, use update_template_metadata with expireAt = 42000000000 (NOW) or a future Unix timestamp.

  Connector

• dd_disqualified_search

  UK Business Tools - Ledgerhall

  Check whether a named individual is banned from acting as a UK company director. Use this tool when asked to check disqualified, banned, or barred directors. Query must be an individual's name (e.g. "Richard Howson") — NOT a company name, which always returns zero results. Returns names, dates of birth, disqualification period snippets, and officer IDs that can be used with disqualified_profile for full details.

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• get_themes

  Alai

  List themes available to the authenticated user. Returns theme IDs and names that can be passed to generate_presentation.

  Connector

• get_vibes

  Alai

  List vibes available to the authenticated user. Returns vibe IDs, names, and sources (system or custom) that can be passed as vibe_id to generate_presentation.

  Connector

• run_mmm

  mcp-server

  Re-runs a Marketing Mix Modeling study previously configured with setup_mmm. **Important:** Do NOT call this right after setup_mmm. The first run is automatically triggered by setup_mmm. Use run_mmm only to re-launch an existing study later (e.g., after data refresh or parameter changes). **Prerequisite:** Must have called setup_mmm first to obtain an account_id. **Duration:** The Meridian fit (MCMC) takes approximately 10-30 minutes depending on data volume. The user will receive an email when results are ready. **Results:** Results are written to the project's data warehouse (mmm_channel_summary and mmm_weekly_contributions tables). They can then be queried via execute_query.

  Connector

• get_human

  Human Pages

  Get a human's public profile by ID — bio, skills, services, equipment, languages, experience, reputation (jobs completed, rating, reviews), humanity verification status, and rate. Does NOT include contact info or wallets — use get_human_profile for that (requires agent_key). The id can be found in search_humans results.

  Connector

• list_starter_prompts

  Vocab Voyage

  Lists Vocab Voyage's MCP starter prompts (also exposed via the standard MCP prompts/list endpoint). Useful for hosts that don't yet support prompts/list.

  Connector

• update_rule

  Sweeppea MCP

  Update an existing official rules document. Use fetch_rules first to get the rules_token. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. # update_rule ## When to use Update an existing official rules document. Use fetch_rules first to get the rules_token. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. ## Pre-calls required 1. fetch_sweepstakes if the user gave you a sweepstakes name instead of a token ## Parameters to validate before calling - sweepstakes_token (string, required) — The sweepstakes token (UUID format) - rules_token (string, required) — The rules token to update (UUID format) - title (string, optional) — New title for the rules document (max 100 characters) - document_content (string, optional) — New HTML content for the rules (max 1,000,000 characters) - abbreviated_rules_shopify (string, optional) — Abbreviated rules for Shopify integration (max 1,000,000 characters)

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• licium_discover

  Licium

  Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.

  Connector

• get_operation

  mcp

  Gets the status of a long-running operation. ***Usage*** Some tools (for example, `run_stream`) return a long-running operation. You can use this tool to get the status of the operation. It can be called repeatedly until the operation is complete. **Parameters** * `name`: The name of the operation to get. * `name` should be the name returned by the tool that initiated the operation. * `name` should be in the format of: `projects/{project}/locations/{location}/operations/{operation}`. **Returns** * An `Operation` object that contains the status of the operation. * If the operation is not complete, the response will be empty. Do not check more than every ten seconds. * If the operation is complete, the response will contain either: * A `response` field that contains the result of the operation and indicates that it was successful. * A `error` field that indicates any errors that occurred during the operation.

  Connector

• recommend_staffing

  QueueSim

  INVERSE of simulate_mmc — given an arrival rate, service rate, and a target average wait time, returns the SMALLEST number of servers needed to meet the target. Use this when the user asks 'how many servers do I need?' / 'what staffing keeps wait under N minutes?'. The tool runs a binary search over candidate server counts (up to maxServers, default 50), invoking the simulator for each candidate. Saves Claude from iterating simulate_mmc 3-5 times by hand. If even maxServers servers can't meet the target, the recommendation is null and the response includes the achieved wait so Claude can explain that the target is infeasible at the given load.

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• models_train

  Roboflow (Official)

  Start training a model on a dataset version. IMPORTANT: A dataset version must exist before training. Use the versions_generate tool first to create one with the desired preprocessing and augmentation settings. IMPORTANT: Each version can only have ONE trained model. If this version already has a model, you must generate a new version first with versions_generate, then train on that new version. This tool validates prerequisites before starting training: it checks the version has no existing model and that the required dataset export is ready. If the export is not ready, it will be triggered automatically — wait ~30 seconds and retry. Training runs in the background on Roboflow servers.

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