Find Market Leading MCP Servers and Clients

The largest collection of MCP Servers.

Showing 631-660 of 2181 items

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flightradar flight-tracking
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Google Search Console Insights with Claude AI for SEOs

seo claude
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Banner grabbing with LLM (MCP Server)

python security
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MCP Server for DNSDumpster Service

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searchAPI MCP
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MCP-server
MCP-server by sparsh0006

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mathgpt math-solver
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A Bitcoin MCP Server

MCP server to give client the ability to search on the internet

An MCP server to give Claude easy access to pulling docs

MCP-DBLP
MCP-DBLP by szeider

A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models.

MCP Server for fething yfinance financial data into Claude Desktop

MCP_Servers
MCP_Servers by Baptoshi

Top MCP Servers to use with AI

mcp ai-servers
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Mirror of

mcp server
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mathgpt math-solver
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mcp-server novacv
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MCP NPX Fetch
MCP NPX Fetch by tokenizin-agency

A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.

mcp-npx-fetch web-content-fetching
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grobid mcp
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An MCP server to query the NIST National Vulnerability Database (NVD)

Model Context Protocol server for sociological research into QAnon

qanon mcp
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MCP-FREDAPI
MCP-FREDAPI by Jaldekoa

FRED (Federal Reserve Economic Data) API integration with Model Context Protocol (MCP)

finance mcp
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MCP server that downloads YouTube transcripts

MCP Server for IMDB

mcp-server-calc
mcp-server-calc by goyatparmod

test mcp server

mathgpt math-solver
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Snowflake Cube Server
Snowflake Cube Server by isaacwasserman

MCP Server for Interacting with Cube Semantic Layers

mcp_cube_server cube-semantic-layers
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✨ mem0 MCP Server: A modern memory system for AI applications with flexible provider support (OpenAI, Ollama, etc.) and MCP protocol integration. Enables long-term memory for AI agents as a drop-in MCP server.

agent memory
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MCP server for intelligent document chunking and progressive summarization, optimized for Claude context windows.

claude-chunks document-chunking
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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.