MCP Server Registry

agent_mcp

Provides per-subagent MCP access controls to Claude Code (or any MCP client) across all your MCPs and prevents context window bloat. Loads only 3 tools instead of all your MCP Server's tool definitions. Agents discover tools on-demand, only when needed. Control which servers and individual tools each agent/subagent can access.

MCP工具构建基础库

MCP server for agent-media — generate AI UGC videos from Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.

Standalone MCP server for agentmemory — thin shim that re-exposes @agentmemory/agentmemory's MCP entrypoint

Persistent memory for AI agents — store, retrieve and search knowledge across sessions

AgentMesh is a visual pipeline builder built on LangGraph + MCP — mix Gemini, OpenAI, and Groq agents per node, and watch execution happen live via real-time event streaming.

MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust

All-in-one server that connects your coding AI to dozens of databases, data warehouses, data pipelines, cloud services, and more.

Retrieves structured EU AI Act compliance logic, ethics modules, and deterministic governance rules for autonomous agents.

Agent-to-agent referral network. Discover, recommend, and refer users between AI agents via MCP.

Structured thinking tools to help coding agents recover from stuck states

AgentOath MCP Server -- expose trust protocol tools to any MCP-compatible AI agent (Claude, ChatGPT, etc.).

Agent observability: structured logging, cost tracking, and compliance audit trails

Provides access to AgentOps observability and tracing data for debugging agent runs, enabling retrieval of project information, trace details, span metrics, and complete execution traces through authenticated API access.

Simple MCP server for AgentOps with Zed

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

Local implementation of agent-orchestrator MCP server

Build and manage policy-compliant AI agents with safety enforcement and compliance checking.

Validates and filters AI agent outputs for safety and compliance.

Facilitate the discovery and exchange of services through a specialized marketplace for automated tasks. Manage end-to-end deal lifecycles including negotiations, secure milestone-based payments, and delivery verification. Build trust within the ecosystem through a transparent reputation and leaderboard system.

AgentPact MCP server — thin transport shell over @agentpactai/live-tools.