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小记 MCP Server for TypeScript

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youtube transcript
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automcp
automcp by NapthaAI

Easily convert tool, agents and orchestrators from existing agent frameworks to MCP servers

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

data-dictionary MCP
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Complete sandbox for augmenting LLM inference (local or cloud) with MCP Client-Server. Low friction testbed for MCP Server validation and agentic evaluation.

Mcp
Mcp by baidu-maps

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mcp baidu-maps
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MCP server for BoardGameGeek API

📸 Google OCR MCP server 📸

mcp model-context-protocol
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基于智普AI web_search 工具的网络搜索工具

mathgpt math-solver
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An MCP server for Pounding The Rock blog, that provides comprehensive coverage of the San Antonio Spurs.

PC-MCP
PC-MCP by shijianzhong

针对操作个人电脑的mcp服务器,该项目当前主要针对smart-pet-with-mcp项目的搭配演示用

Kagi MCP server written in Go

MCP server for structured problem-solving using the Lotus Sutra's wisdom framework. Beautiful visualizations, multiple thinking approaches, compatible with various MCP clients (e.g., Claude Desktop, Cursor, Cherry Studio).

mcp mcp-server
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task
task by crteal

an MCP server to expose a data format for translating tasks into environmental actions

task environmental-actions
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Loki MCP Server
Loki MCP Server by scottlepp

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opendatasoft mcp-server
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Local MCP server for MLX Whisper transcription

mcp transcription
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Task Researcher
Task Researcher by tejpalvirk

Researcher for AI Coding that analyzes task complexity and runs deep research (STORM) to decompose complex tasks into subtasks, as an MCP Server or CLI.

🎶 A simple MCP Server that search & plays youtube music tracks

youtube-music mcp-server
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MCP Ethical Hacking Security sample for educational

security ai
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MCP server for Scanpy

Speelka Agent
Speelka Agent by korchasa

Universal LLM Agent based on MCP

agent mcp
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A server for stock analytics using MCP and Yahoo Finance API.

stock-analytics finance
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MCP server for Korean tourism information

MCP server that can analyze your Spotify playlists and use Claude to recommend songs based on the mood, vibe, BPM, and other musical attributes.

spotify playlist-curator
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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.