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MCP Servers

Browse MCP servers by category and sort by GitHub stars or newest additions. Open a listing for configuration and setup details.

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Reasoning

What?

bkakadiya

Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store

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AM

Atomic Mail Agentic

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.

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BM

Bernstein Multi Agent Orchestration

chernistry

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

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CFFBRW — AI Workflow Compiler for Cloudflare Edge

shizlie

AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.

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MCP Server for ServiceNow

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.

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Markdown2pdf

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.

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Code Sandbox X402

Br0ski777

Execute Python, JavaScript, or SQL in a sandbox. Get stdout, execution time, errors. 10s timeout. -- x402 micropayment API + MCP server for AI agents

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MCP-Codex: Model Context Protocol Tool Orchestration

twolven

A MCP server for calling MCP tools remotely without requiring installation.

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mcp-server-sandbox

imghosty17

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MP

Microsoft Planner MCP Server by CData

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

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js-sandbox MCP Server

garc33

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Understanding MCP Architecture: Single-Server vs Multi-Server Clients

commitbyrajat

MCP architecture demo with single-server & multi-server clients using LangGraph, AI-driven tool calls, and async communication.

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Blueprint Agentic Staking (Solentic)

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

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Orlog — Decision Reasoning Engine

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.

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MCP Weather Server 🌤️

janhavihood4

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Ejentum MCP

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.

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🤖 MCP Server Examples with AutoGen

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.

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AA

Agentic Ads

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.

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🔄 Crew Sync Agent

Hwani-Net

Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management

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Sunsama

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.

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LANGGRAPH-MCP-AGENTS

serkanyasr

Transforms MCP tools into collaborative agents using the LangGraph framework.

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Setup

jack-scott

Playing around with different ways to implement MCP servers

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E2B_MCP

LRriver

Support connecting E2B via MCP, with custom server and client, without the need for tools like the Claude app, Cursor, etc.

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mcp-server-sandbox

open-mcp-app

install all mcp server in sandbox for remote usage

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argo-workflow-mcp-server

zhuzzz

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mcp-blackboard

peekwez

An MCP server for managing context and memory for a multi-agent task execution based on agentic directed acyclic graph

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MCP Crew AI Server

adam-paterson

MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.

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PE

Python Exec Sandbox

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

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Agentic News

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

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MCP Dev LATAM — 109 Servers · 2,289 Tools for Agentic Commerce

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

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MCP Dev Brasil — 37 Servers for Agentic Commerce

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

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LangGraph Agent with MCP

galaxyxyz5

LangGraph Agent that integrates with MCP servers

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Workflow Commander MCP Server

AndurilCode

An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.

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Runno Code Sandbox

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

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Workflow Orchestrator MCP Server

jeanibarz

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SS

Superserve Sandbox

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

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MultiAgent_MCP_Langgraph

rakeshrau

Multi Agents with MCP servers implementation using Langgraph

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ZA

Zentrix Agentic Workbench

deslito

A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.

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agentic-slackbot

agentika

A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.

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데이터분석 LangGraph Agent (w. Model Context Protocol)

gongwon-nayeon

DataAnalysis Agent using LangGraph & MCP server and client

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MCPServer

ganesh-karthick

A Simple MCP Server for enabling agentic workflow

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Agentic Trust

subramanya1997

The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.

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CW

Cool Workflow

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.

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Safer Agentic Ai Framework

NellInc

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Run the weather server in a separate terminal

juananpe

LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services

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MCP-Agentic-AI

Sumit-Prasad01

Ai agent using MCP server

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MCP Agentic Workflow Visualization

chrisrafuse

3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.

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E2B MCP Server

MCP-Mirror

Mirror of

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Frequently asked questions

Common questions about MCP servers, tools, and integrations

1

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.

2

How do I install an MCP server?

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.

3

Are MCP servers free to use?

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.

4

What is the difference between local and remote MCP servers?

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.

5

Which AI clients can connect to MCP servers?

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.

6

How can I evaluate whether an MCP server is safe and reliable?

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.