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.
bkakadiya
Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store
Atomic-Mail
Read and write email through the Atomic Mail from an AI agent. Handles proof-of-work authentication and JMAP so the agent thinks in JMAP method calls. Use when the user asks to register an email inbox, list mailboxes, fetch or send email.
chernistry
Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.
shizlie
AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.
mady22070
This MCP Server for ServiceNow is designed to be both generic and extensible. It leverages a modular approach to handle a wide range of ServiceNow use cases, from core ITSM operations to advanced CMDB management and dynamic workflow orchestration.
Serendipity-AI
Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. See https://markdown2pdf.ai for more.
Br0ski777
Execute Python, JavaScript, or SQL in a sandbox. Get stdout, execution time, errors. 10s timeout. -- x402 micropayment API + MCP server for AI agents
twolven
A MCP server for calling MCP tools remotely without requiring installation.
imghosty17
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Microsoft Planner (beta): https://www.cdata.com/download/download.aspx?sku=UIZK-V&type=beta
garc33
commitbyrajat
MCP architecture demo with single-server & multi-server clients using LangGraph, AI-driven tool calls, and async communication.
blueprint-infrastructure
The only native Solana staking platform purpose-built for AI agents. 30 REST endpoints, 26 MCP tools, A2A agent card with 13 skills, and custom OpenAPI 3.1 spec. Zero-custody architecture returning unsigned transactions for client-side signing. On-chain memo attribution, SHA-256
DonMerlin77
Multi-perspective decision reasoning for Claude. When you face a real choice: career, money, relationships, strategy. Orlog examines competing angles and takes a clear position, not a hedge. Get an API key at orlog.fyi.
janhavihood4
ejentum
Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.
SaM-92
This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.
nicofains1
Monetize your MCP server with contextual ads. 70% revenue share for developers. 8 tools: search_ads, report_event, create_campaign, create_ad, get_analytics, update_campaign, list_campaigns, get_ad_guidelines.
Hwani-Net
Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management
robertn702
A comprehensive Model Context Protocol (MCP) server that integrates Sunsama's daily planning and task management capabilities into AI assistants. Provides full CRUD operations for tasks, enabling automated workflow management and productivity optimization through the Sunsama API.
serkanyasr
Transforms MCP tools into collaborative agents using the LangGraph framework.
jack-scott
Playing around with different ways to implement MCP servers
LRriver
Support connecting E2B via MCP, with custom server and client, without the need for tools like the Claude app, Cursor, etc.
open-mcp-app
install all mcp server in sandbox for remote usage
zhuzzz
peekwez
An MCP server for managing context and memory for a multi-agent task execution based on agentic directed acyclic graph
adam-paterson
MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.
lu-zhengda
Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configu
u00dxk2
AI-powered news intelligence via MCP. 21 tools for personalized monitoring — create AI agents that track any topic 24/7 across thousands of sources. Get deduplicated, AI-analyzed briefings, semantic search, collections, feedback-driven refinement, and custom analysis lenses. Work
codespar
109 MCP servers for agentic commerce across LATAM (Brazil, Mexico, Argentina, Colombia, Chile, Peru). Stripe ACP, x402, AP2, Google UCP + 100 regional providers covering payments, fiscal, banking, communication, logistics, ERP, identity. 2,289 tools. stdio + Streamable HTTP. Publ
codespar
37 MCP servers for agentic commerce and Brazilian services. Stripe ACP, x402 (Coinbase), AP2 (Google), Google UCP, plus 14 Brazilian payment rails, fiscal, banking, communication, logistics, ERP, identity, and crypto APIs. ~480 tools. Supports stdio and Streamable HTTP. Published
galaxyxyz5
LangGraph Agent that integrates with MCP servers
AndurilCode
An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.
taybenlor
The @runno/mcp server provides a run_code tool that AI assistants can use to execute code snippets in various programming languages. It leverages the @runno/sandbox package, which uses WebAssembly to create isolated environments for code execution. The result of the code executio
jeanibarz
superserve-ai
The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds. Your agent can run shell commands, read and write files, install dependencies, and expose a running server as a public preview URL, th
rakeshrau
Multi Agents with MCP servers implementation using Langgraph
deslito
A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.
agentika
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
gongwon-nayeon
DataAnalysis Agent using LangGraph & MCP server and client
ganesh-karthick
A Simple MCP Server for enabling agentic workflow
subramanya1997
The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.
coo1white
Cool Workflow keeps AI agent work in order. It saves signed JSON reports with citations and checks, and can run as an MCP server.
NellInc
juananpe
LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services
Sumit-Prasad01
Ai agent using MCP server
chrisrafuse
3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.
MCP-Mirror
Mirror of
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.