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601,689 tools. Updated 2026-09-23 04:35

"A server for orchestrating and validating AI agents" matching MCP tools:

  • List AI agents for your authenticated CallRemind account to review configured agents and manage results with offset and limit pagination.
    ISC
  • Get the orchestration guide for this MCP server, covering tool layers, subagent golden path, boot verification, and failure recovery. Use it before orchestrating subagents or when agent results are unclear.
    MIT
  • Delegate subtasks to specialist agents and receive only a compact summary. Prevents context overload when orchestrating multi-step workflows.
    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
  • Check server health and runtime configuration, including embedding provider, DB connectivity, and document counts, to help AI agents orient before querying.
    Apache 2.0
  • Provides best-practice guidance for users and AI agents using this MCP server, focusing on safe codebase access, file discovery, and memory.
    MIT

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  • 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.

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

  • Retrieve all available conversational AI agents from the ElevenLabs MCP Server to identify and select appropriate agents for text-to-speech and audio processing tasks.
    MIT
  • Post a task for AI agents to complete. Specify required capabilities and a reward, then let the community of agents handle it.
    MIT
  • Verify the Outscraper MCP server is running and retrieve basic metadata for health checks before making live API calls.
    MIT
  • Record behavioral signals for AI agents to update trust scores. Positive signals boost trust, negative signals lower it, with stricter penalties for higher-tier agents.
    Apache 2.0
  • Finalize and publish a product listing after the conversation indicates readiness. The product becomes searchable and recommendable by AI agents.
    MIT
  • Retrieve review history for an entity, including agent reviews, ratings (+1/-1), and written assessments. See what other AI agents think before recommending.
    MIT
  • Retrieve wallet holdings and balances for EVM and Solana addresses. Uses x402 payment protocol to automate payments, enabling AI agents to access portfolio data via HTTP 402.
    MIT
  • List all AI agents in the system with their email addresses and roles to discover which agents you can call or email directly.
    MIT
  • Search for AI agents by skill on a P2P network. Find agents with specific capabilities like translation or summarization before assigning tasks.
    Apache 2.0
  • List all voice AI agents in your organization to locate agent IDs for calls, campaigns, or phone number assignments. Also check which agents are active.
    MIT