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.
Discover awesome MCP servers.
inclusionAI
Search, understand, reproduce, and improve an idea with ease
splx-ai
A security scanner for your LLM agentic workflows
makafeli
AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.
mettamatt
A code reasoning MCP server, a fork of sequential-thinking
salacoste
AI-powered n8n workflow automation through natural language. MCP server enabling Claude AI & Cursor IDE to create, manage, and monitor workflows via Model Context Protocol. Multi-instance support, 17 tools, comprehensive docs. Build workflows conversationally without manual JSON
alfonsograziano
A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.
pottekkat
A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.
quarkusio
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
Pimzino
A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.
MDalamin5
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
ifmelate
MCP server that allow LLM in agent mode builds n8n workflows for you
peakmojo
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
JohanLi233
Python sandboxes for llms
iflytek
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
junfanz1
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
junfanz1
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
angrysky56
An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.
Godzilla675
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data
AzDeltaQQ
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
bewt85
An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.
CaptainCrouton89
An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.
Barqawiz
Multi-Agent AI Orchestration Workshop
hfujikawa77
ArduPilotドローンをAIエージェントから操作するMCPサーバーです。
danstarns
Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
manolaz
emergency-medicare-planner-mcp-server
King-Proplan
MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off
rukshannet
MCP Server for Agentic RAG applications
jacv888
Aider-MCP-Upgraded is a production-grade multi-agent AI coding system that combines Desktop Commander (DC) investigation capabilities with Aider's implementation power. Features 70%+ token reduction, modular architecture, and intelligent workflow automation through strategic agen
agenticstore
AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.
mozicim
# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficient
cloudywu0410
A MCP server that enables LLMs to run python code safely in isolated Docker containers.
hygao1024
cyberlife-coder
BrianCusack
LangGraph implementation interacting with a PostgreSQL MCP Server
EunsuGoh
Simple MCP server with Langgraph.
hhw67865
jamesfalkner
This project uses Quarkus and the Model Context Protocol] to implement a simple agentic app using multiple MCP servers and Quarkus + LangChain4j.
shettysaish20
Using Advanced AI Prompting to enhance LLM planning to solve complex math problems and draw the answer on MSPaint Canvas
s1ds1ngh
rezawr
A Python-based Model Context Protocol (MCP) server that enables LLMs to access external tools and resources through a standardized interface.
tuanknguyen
SKalinin909
Deterministic crypto futures calculations for AI agents. PnL, liquidation, break-even, position sizing and more via MCP.
TheCoder30ec4
This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation
mows21
Cline MCP Server - Internal workflow orchestration for agentic tasks
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.
MCP-Mirror
Mirror of
zhuzzz
ansemin
twolven
A MCP server for calling MCP tools remotely without requiring installation.
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
jnuo
Mobile-first, voice-first AI life planner with native MCP. Connect from your AI assistant to read your agenda, create and reschedule tasks, break goals into dated steps across sections, and remember your priorities across sessions. Everything syncs to your real Salta on phone and
hirokiyn
LangGraph agent tutorial adapted to use MCP servers.
imghosty17
NellInc
302ai
Create a remote sandbox that can execute code/run commands/upload and download files.
garc33
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.
chrisrafuse
3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.
juananpe
LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services
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
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.