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The largest collection of MCP Servers.

Showing 691-720 of 3965 items

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cloudbrowser mcp-server
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github mcp
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MCP Server for using Garak LLM vulnerability scanner

mcpServer
mcpServer by lucyilys

mcpServer

mcpServer
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Dida MCP Server
Dida MCP Server by zhongwencool

A Model Context Protocol (MCP) server for interacting with TickTick/Dida365 task management service. This server provides tools to manage tasks, projects, and tags through the TickTick API.

ticktick dida365
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Containerized versions of hundreds of MCP servers 📡 🧠

agent docker
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The tailorctl command-line utility, with a focus on MCP (Model Context Protocol) server functionality.

MCPserver
MCPserver by NextFEM

MCP server for AI chat

mathgpt math-solver
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Neo4j MCP Server
Neo4j MCP Server by dandelionmayday123

Neo4j MCP Server - A microservice for Neo4j database operations

mcp-projects
mcp-projects by SrGrace

My Projects Repo for MCP (Model Context Protocol)

mcp mcp-server
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mcp-servers
mcp-servers by equenum

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mcp-servers server-management
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Repo for MCP servers playground

Next MCP server
Next MCP server by Collaborne

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mcp-server NEXT
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remote-mcp-server cloudflare
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remote-mcp-server cloudflare
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MCP Server for Postgres with both Read and Write capabilities.

mec-postgres database-server
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mcp-server
mcp-server by iyerrama29

MCP demo

mcp-server demo
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remote-mcp-server cloudflare
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Model Context Protocol (MCP) server for using the Eyevinn Open Source Cloud API

mcp-server cloud-api
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WhatsApp Messaging with MCP & Ollama This project integrates PraisonAI Agents with Ollama (llama3.2) and a Go-based WhatsApp bridge. It allows you to send WhatsApp messages using natural language through a local REST API, powered by an LLM and custom MCP tools.

mcp whatsapp
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Mcp Server
Mcp Server by kongo97

Python MCP Server

C++によるMCP Serversのサンプル

A test repository created using the GitHub MCP server

fastapi api
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A comprehensive API server for medicine information lookup, alternative suggestions, and composition analysis. This server provides multiple endpoints for searching, filtering, and analyzing medicine data with advanced features like fuzzy matching and price comparison.

medicine api
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Frequently Asked Questions

What is MCP (Model Context Protocol)?

MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

What are MCP Servers?

MCP Servers are systems that provide context, tools, and prompts to AI clients. They can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

How do MCP Servers work?

MCP Servers work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

What can MCP Servers provide?

MCP Servers can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

How does Claude use MCP?

Claude can connect to MCP servers to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

Are MCP Servers secure?

Yes, security is built into the MCP protocol. Servers control their own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.