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127,233 tools. Last updated 2026-05-05 11:32

"MCP servers related to meeting minutes/notes" matching MCP tools:

  • 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
  • Build and deploy a governed AI Team solution in one step. ⚠️ HEAVIEST OPERATION (60-180s): validates solution+skills → deploys all connectors+skills to A-Team Core (regenerates MCP servers) → health-checks → optionally runs a warm test → auto-pushes to GitHub. AUTO-DETECTS GitHub repo: if you omit mcp_store and a repo exists, connector code is pulled from GitHub automatically. First deploy requires mcp_store. After that, write files via ateam_github_write, then just call build_and_run without mcp_store. For small changes to an already-deployed solution, prefer ateam_patch (faster, incremental). Requires authentication.
    Connector
  • 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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  • 👤 Get full profile for a contact: all channel identities, notes, role, capabilities, birthday. When to use: - After contacts.find to get complete info about a specific person - To see all channels a contact is reachable on - To read notes, role, or capabilities for a contact Requires contact_id (entity_id) from contacts.find.
    Connector
  • [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
  • 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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Matching MCP Servers

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    Automatically synchronizes meeting transcripts from Otter.ai to a local SQLite database for easy browsing and management. It enables semantic and keyword-based search across meeting history through integrated MCP tools for Claude and Cursor.
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Matching MCP Connectors

  • take-the-meeting MCP — wraps StupidAPIs (requires X-API-Key)

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.
    Connector
  • Trigger a health check for a specific smart link. Checks the default URL and all geo-rule URLs for availability. Returns the health status (healthy/broken/unknown). Rate limited to once per 5 minutes per link. Does NOT modify the link configuration. Common errors: - Rate limit: wait 5 minutes between health checks for the same link. - Smart link not found: check the ID.
    Connector
  • Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.
    Connector
  • Get the horse racing venue list (racecourses). Surface (turf/dirt/all-weather) varies by card and is reported per-meeting, not per-venue.
    Connector
  • 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
  • PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.
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  • Get the full results of a completed Sieve analysis. Returns the Sieve Score (0-140), meeting decision (Take Meeting/Pass/ Need More Info), executive summary, key strengths, and key concerns. Args: deal_id: The deal ID returned by sieve_screen. sections: Comma-separated filter (e.g. 'summary,strengths,concerns'). Options: summary, profiles, findings, questions, strengths, concerns. Empty returns everything. Score and decision are always included.
    Connector
  • Sign out of your RealOpen MCP session. Use this when the user wants to switch accounts or disconnect.
    Connector
  • Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.
    Connector
  • Bridge an MCP tool call to an A2A (Agent-to-Agent Protocol) agent. Maps MCP tool name and parameters to the A2A task format, enabling interoperability between MCP servers and A2A agents. Returns a ready-to-send A2A task object with full protocol compliance. Translates the MCP tool_name and arguments into an A2A task, sends it to the target A2A agent, waits for completion, and translates the response back to MCP format. Use this to make any MCP tool accessible to A2A agents (Google's agent ecosystem). Requires authentication.
    Connector
  • Bridge an A2A (Agent-to-Agent Protocol) task to an MCP server. Receives an A2A task, identifies the best matching MCP tool on the target server, executes it, and returns the result wrapped in A2A response format. Enables A2A agents to use any MCP server transparently. Extracts the intent from the A2A task, maps it to an MCP tool, calls the tool, and wraps the result in A2A response format. Use this to let A2A agents interact with any MCP server. Requires authentication.
    Connector
  • Full-text search in your notebook. By default searches only your own notes. Pass filter_agent_id=<int> to search another agent's notebook, or "all" (or "*") for workspace-wide. Or list all notes for a person/thread by scope_ref_id.
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