Browse MCP servers — page 101

A CLI tool that intelligently discovers, validates, and selects MCP (Model Context Protocol) server configurations for Claude Code. Requires MCP config JSON files in the configured directory (default: ~/.claude/mcp-configs/), configurable via environment variable CCMCP_CONFIG_DIR.

这是一个模拟Claude Code任务管理系统的MCP服务器，提供用于AI编码助手（如Cursor、Windsurf等）在集成开发环境中的持久待办事项功能。

CodingBaby-Browser-MCP is a Node.js MCP server enabling AI assistants to control the Chrome browser via WebSocket. Requires Chrome browser and the CodingBaby Chrome Extension installed separately.

A Model Context Protocol (MCP) server providing AI agents access to Collibra Data Governance Center capabilities including data asset discovery, business glossary queries, and detailed asset information retrieval. Requires a configuration file or environment variables for Collibra credentials and API URL.

Model Context Protocol (MCP) 服务器，用于访问 Fitbit 健康与健身数据。将 AI 助手（如 Claude）连接到您的 Fitbit 数据，以获取个性化健康洞察。需要通过环境变量 FITBIT_CLIENT_ID 和 FITBIT_CLIENT_SECRET 在 .env 文件中配置的 Fitbit API 凭据。

Gemini DeepSearch MCP 是一款自动化研究代理，利用 Google Gemini 模型和 Google 搜索进行深度、多步骤的网页研究。运行时需要设置 GEMINI_API_KEY 环境变量。

An extensible GitLab MCP (Model Context Protocol) server supporting various GitLab operations and AI-driven code analysis. Requires external configuration via environment variables or config.json file for GitLab host and access token.

The open-source GTM toolkit for Claude: skills and an MCP server to run outbound from the chat. The MCP server is hosted remotely at https://mcp.lagrowthmachine.com and requires no local installation.

一个用于Gyazo图片集成的Model Context Protocol（MCP）服务器。需要将您的Gyazo API访问令牌设置为环境变量GYAZO_ACCESS_TOKEN。

一个用于macOS的Model Context Protocol (MCP) 服务器，专为与Claude Desktop及其他MCP兼容客户端的无缝集成而设计，支持Homebrew包管理。需要在macOS上预先安装Homebrew。服务器通过子进程执行实际的brew命令。依赖项由使用uv和requirements.txt创建的Python虚拟环境管理。

一个 MCP 服务器，可以读取源代码目录并将可搜索的 SQLite 索引（默认为 .mcp-index.sqlite）写入该目录的根目录。需要 Node.js 18.17 及以上版本和 npm 9+。在运行前必须构建原生 Rust 插件。

InfraNodus MCP server that integrates knowledge graph and text network analysis capabilities into LLM workflows and AI assistants. Requires an InfraNodus API key configured via the INFRANODUS_API_KEY environment variable.