What is an MCP server?
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Browse MCP servers by category and sort by GitHub stars or newest additions. Open a listing for configuration and setup details.
Shantanu1711
N-45div
A MCP server powered by Messari Chat Agent API and an LLM based kit for mindshare and set insights over the time and plots to be the next crime-fighting AI toolkit.
Steph-ux
Full Android control from any AI agent — Claude, OpenCode, Windsurf, Cursor… 7 categorical MCP tools · 90fps live viewer · WiFi ADB · zero app to install
Nagharjun17
Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json
rexcoleman
Scan OpenClaw SKILL.md and MCP tool definition files for security vulnerabilities. 22 rules across prompt injection, capability escalation, data exfiltration, encoded payloads, and composition risks. The only scanner targeting agent skill file formats.
nikolaospapagiannis
amoga-org
muxi1998
mgWellPay
Give your AI agent a phone number with one API call. ThruAI provides voice, telephony, knowledge base (RAG), self-learning, and 14 integrations. 50+ MCP tools for agents to make and receive phone calls, manage conversations, and access analytics.
rafsilva85
AI-powered credit optimization for Manus AI. Automatically analyzes each prompt and routes to the cheapest capable model (Standard vs Max, Agent vs Chat mode). Saves 30-75% on Manus credits with zero quality loss. Tested across 53 real-world scenarios. Free and open-source.
apifyforge
Agricultural commodity climate risk intelligence for AI agents via the Model Context Protocol. This MCP server gives any AI assistant — Claude, GPT-4, Cursor, or a custom agent — direct access to live weather stress analysis, pest emergence monitoring, trade concentration scoring
AgentTorch
AgentTorch MCP Server - Imagine if your models could simulate
n0mad-ai
Persistent memory for any AI assistant — Claude, ChatGPT, Cursor — backed by your local Obsidian vault. One daemon, all your tools.
zooza-dev
Official MCP server for Zooza — manage class schedules, attendance, bookings, and payments for dance schools, language academies, swim schools, sports clubs, and activity businesses through natural language. 19 tools, works with Claude and ChatGPT.
luis1232023
Stdio Mcp Server 转为 RestFul,轻松部署与 Web 服务集成, mcp gateway
MCP-Mirror
Mirror of
rccola990-cloud
Pay-per-call x402 MCP data layer for AI agents. One endpoint, no API keys, USDC settlement on Base.
mattmohandiss
AI-native CAD inspection, no CAD license required. CAD MCP Server bundles a WebAssembly Open CASCADE kernel so LLM tools can read, measure, and compare STEP files locally. The server returns measured facts; your AI assistant interprets engineering meaning.
Common questions about MCP servers, tools, and integrations
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Every server's detail page includes ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, and other common clients — most installs take just a couple of minutes.
Most servers listed here are free and open source. Some wrap third-party APIs (cloud services, paid data providers, etc.) that require your own API key or subscription.
A local MCP server runs on your device and usually connects over stdio, giving you more direct control over data but requiring a runtime and installation. A remote MCP server is hosted by a provider and connects over HTTP, making setup easier while adding network and provider availability dependencies.
Claude Desktop, Claude Code, Cursor, VS Code, Codex, and other AI clients that support the Model Context Protocol can connect to MCP servers. Configuration formats and supported transports vary by client.
Review the source repository, maintenance activity, dependencies, requested permissions, and data-handling documentation before installation, and prefer official or trusted maintainers. Use least-privilege credentials for sensitive access such as files, databases, shells, and production systems.