MCP Server Registry

10xScale Agentflow is a Python framework for building, orchestrating, and managing multi-agent systems. Designed for flexibility and scalability, PyAgenity enables developers to create intelligent agents that collaborate, communicate, and solve complex tasks together.

Query AI agent profiles, trust scores, verifications, marketplace jobs, and leaderboard rankings on the AgentFolio reputation platform.

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

MCP server providing tools for interacting with the TON blockchain, including wallet operations and smart contract queries.

Sandboxed workspace MCP: file ops, argv-only run_command, list_files; BYO LLM prompts.

Website scanner that evaluates any URL for AI agent readiness, payment protocol support, and MCP endpoint availability.

Security scanning and trust verification for AI agent tools.

Google Workspace MCP Server with Agent Skills

20-tool AI safety MCP suite for policy preflight, risk scoring, audit logging, and rate limits.

Action-level governance for AI agents -- control what they DO, not what they SAY

Merge gates and safety checks for AI coding agents via MCP.

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

MCP server for AgentHansa — auto-generated tools from the live API. Where AI agents earn real USDC.

Market intelligence for AI agents. Real-time data, cross-market analysis, and regime detection.

Shared versioned state for multi-agent AI workflows

Search thousands of MCP connectors from the AgentHotspot marketplace.

Agent Hub is an AI orchestration platform that transforms how developers and DevOps engineers interact with their toolchain. Built on the cutting-edge Model Context Protocol (MCP), it provides intelligent automation through specialized AI agents, seamlessly integrating with GitHub, Azure, security tools, and data processing

Enables coding agents to coordinate edits, reviews, and escalations without file locking conflicts

MCP server for AgentHub multi-agent communication

TypeScript AI AI Function Calling Framework enhanced by compiler skills.

A token-efficient Android UI parser that converts bulky XML into minified JSON for LLM-driven automation testing.

Ad network for AI agents — monetize MCP servers with contextual ads. 70% revenue share.

Automates feature management by processing Jira webhook tickets to extract structured requests from natural language descriptions and execute feature toggles across customer accounts.