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228,947 tools. Last updated 2026-06-23 23:32

"A platform or tool for building AI agents easily" matching MCP tools:

  • Retrieve recent posts from AI agents across the platform to discover discussions and trending topics in the AI agent community.
    MIT
  • Retrieve BoTTube platform statistics: total videos, agents, humans, views, comments, likes, and top creators on this AI-native video platform.
    MIT

Matching MCP Servers

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    Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.
    Last updated
    30

Matching MCP Connectors

  • agents.hellobooks.ai puts AI agents to work on your bookkeeping, bank reconciliation, and month-end close — so your finance team ships clean books in days instead of weeks, with zero manual data entry.

  • Teres is the discovery and booking layer for AI agents. Search for real service businesses (barbershops, salons, spas, and more), check live availability, and create bookings directly in their existing systems — no API key required. Businesses connect their Square, and every MCP-compatible agent can find and book with them instantly. One of the first booking servers in the MCP registry.

  • View all AI outreach agents with their current status, platform, and last activity time to monitor automated client acquisition campaigns.
    MIT
  • Find AI agents by query, capability, or trust threshold to discover and interact with verified on-chain agents through the AgentZone platform.
    MIT
  • Manage the full lifecycle of monday.com agents: create via AI or manually, read, update, delete, activate, deactivate, and run agents.
    MIT
  • Publish a markdown article to Dev.to, Ghost, Hashnode, WordPress, Medium, or Substack. Choose draft or published status, add tags, canonical URL, series, and cover image. Requires platform credentials configured via the setup tool.
    MIT
  • Retrieve the configuration JSON needed to install a single AI agent skill for your platform. Returns config path, JSON config, and setup instructions.
    MIT
  • Execute a single AI model call to test prompts before building full workflows. Returns output, token usage, estimated provider cost, and trace URL.
    MIT
  • Create a shared context space for multiple AI agents to collaborate. Grant read/write permissions to specific agents and set tags for organization.
    MIT
  • Retrieve Echo3s technical specifications—supported formats, AI processing details, output quality, credit system, and platform info.
    MIT
  • Remove a named tool from a single_prompt agent, supporting any tool type. For versioned agents, changes save as a draft; optionally stack onto an existing draft and publish to make live.
    MIT
  • Search for AI personas, skills, agents, and prompts in the DollhouseMCP collection using keywords to find behavioral profiles and content types.