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.
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
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
shizlie
AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.
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.
chernistry
Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.
Br0ski777
Execute Python, JavaScript, or SQL in a sandbox. Get stdout, execution time, errors. 10s timeout. -- x402 micropayment API + MCP server for AI agents
peekwez
An MCP server for managing context and memory for a multi-agent task execution based on agentic directed acyclic graph
Timwal78
gcampton
MantleKit Launch Planner helps founders, freelancers, and agencies turn a plain-English SaaS idea into a launch-ready MantleKit setup plan. It recommends the best tier, theme, feature set, install path, and next steps using MantleKit’s real product structure, pricing, themes, and
ganesh-karthick
A Simple MCP Server for enabling agentic workflow
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.
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.
TrHung1910
MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻
AndurilCode
An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.
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.
302ai
Create a remote sandbox that can execute code/run commands/upload and download files.
rakeshrau
Multi Agents with MCP servers implementation using Langgraph
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
SaferAgenticAI MCP brings the Safer Agentic AI safety framework to coding assistants over the Model Context Protocol.
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.
MCP-Mirror
Mirror of
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.
galaxyxyz5
LangGraph Agent that integrates with MCP servers
jake-ccnh
Planning Center Online MCP Server
gongwon-nayeon
DataAnalysis Agent using LangGraph & MCP server and client
subramanya1997
The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.
adam-paterson
MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.
jack-scott
Playing around with different ways to implement MCP servers
janhavihood4
bkakadiya
Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store
ezequielcasillas1
Arkitect-MCP brings architecture-first reasoning to your AI coding workflow. Instead of jumping straight to refactors, the server scans repo context first — platform, workload, health, and intent — then returns actionable cursorGuidance for the agent to follow.
open-mcp-app
install all mcp server in sandbox for remote usage
Sumit-Prasad01
Ai agent using MCP server
angrysky56
RoCQ (Coq Reasoning Server)
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
commitbyrajat
MCP architecture demo with single-server & multi-server clients using LangGraph, AI-driven tool calls, and async communication.
agentika
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
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
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
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
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
kingkongshot
Guide AI to systematically complete software development through a structured **Requirements → Design → Tasks** workflow, ensuring code implementation stays aligned with business needs.
LRriver
Support connecting E2B via MCP, with custom server and client, without the need for tools like the Claude app, Cursor, etc.
deslito
A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.
serkanyasr
Transforms MCP tools into collaborative agents using the LangGraph framework.
peterod99
42-tool MCP server for CRM, relationship intelligence, and multi-agent orchestration. Search contacts, manage deals, analyze relationships, and coordinate AI agents.
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.