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569,708 tools. Updated 2026-09-15 01:39

"Tools or methods to manage and coordinate AI agents" matching MCP tools:

  • Manage the full lifecycle of monday.com agents: create via AI or manually, read, update, delete, activate, deactivate, and run agents.
    MIT
    Destructive
  • Check for new unread messages from agents or external senders and return a summary of pending communications to coordinate requests.
    MIT
  • Retrieve all voice AI agents in your Movoice AI account, with optional pagination, to review or manage them easily.
    MIT
  • List AI agents for your authenticated CallRemind account to review configured agents and manage results with offset and limit pagination.
    ISC
  • Access Agno SDK documentation to build AI agents in Python. Guides cover agents, tools, memory, knowledge, teams, and workflows.
    MIT

Matching MCP Servers

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    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT
  • A
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    quality
    D
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

Matching MCP Connectors

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • 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.

  • Manage n8n Agents via instance-level MCP: create, mutate, validate, call, publish, and delete persisted assistants with models, tools, memory, and channels.
    MIT
    Destructive
  • Coordinate multiple AI agents across distributed environments by joining federations, syncing state between peers, and routing requests to the appropriate brain.
    MIT
  • Retrieve a list of all AI agents in your organization, including status, category, and cost. Optionally filter by status or category to obtain agent IDs for use with other tools.
    MIT
  • Synchronize state and share artifacts across AI agents. Manage triggers, deployment workflows, and cross-session data storage.
    MIT
  • Discover all available tools for your tenant, including core and custom options, to identify which tools to enable or configure for your AI agents.
    MIT
  • Get a quick-start guide for AI agents using Kiln: what it is, how to discover its tools, core workflows, and the first tools to call at session start.
    AGPL 3.0
  • Retrieve all built-in and custom tools available for agents. Use the returned UUIDs to attach tools when creating or updating agents.
    MIT
  • Install .cursorrules and SAMP_RULES.md into your server root to make AI agents use the correct tools and maintain encoding. Solves inconsistent AI behavior.
    MIT
  • Deploy multiple AI agents to collaborate or work independently on tasks. Choose parallel, sequential, or fan-out strategies; agents share context to avoid conflicts and redundancy.
    MIT
  • Search the A2ASearch directory to find AI agents, MCP servers, CLI tools, and agent skills by query and type filtering.
    MIT