모든 MCP 서버 탐색

Mcp-Projects

Facilitates experimentation with the Model Context Protocol (MCP) through various projects and files.

Claudette

Intelligently routes AI requests across multiple large language model providers to optimize for cost, performance, and reliability while maintaining quality.

Weavely

Generates forms programmatically using the Weavely API via a Model Context Protocol (MCP) server.

D747d

Experiments with Model Context Protocol server implementations.

Inoyu Unomi

Connects Claude to Apache Unomi for user profile management, enabling context retention across conversations.

Example

Provides a boilerplate Model Context Protocol server implementation for connecting AI assistants to external tools, data, and resources.

Consumer Rights Wiki

Provides AI assistants with programmatic access to the Consumer Rights Wiki, documenting modern consumer exploitation issues.

Wikisearch

Access and search Wikipedia content locally through ZIM files, providing results in HTML or Markdown.

BALLDONTLIE Sports

Provides a Model Context Protocol (MCP) interface to comprehensive sports data from the BALLDONTLIE API, including NBA, NFL, MLB, EPL, and NHL statistics, player information, and game data.

MeshAI

Enables Claude Code and other MCP-compatible tools to leverage multi-agent orchestration capabilities through a standalone Model Context Protocol server.

Cyberchef

Exposes CyberChef operations as structured tools via an MCP server for AI agents and applications.

Architect

Provides an interface to interact with the LLM CLI for architectural design feedback, maintaining conversation context and handling communication.

Mcpy-Cli

Automates the discovery and building of Model Context Protocol (MCP) services directly from Python files.

Gmail Plugin

Enables Gmail integration for MCP clients, providing direct email management.

Hackernew

Provides an AI-friendly server for interacting with Hacker News data.

LanceDB Node

Enables vector similarity search using LanceDB and custom embedding functions within a Node.js environment.

Server Practice 2

Implements Model Context Protocol (MCP) servers for LinkedIn profile scraping and weather data retrieval.