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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

AI代理stdio

Enables AI assistants to make real phone calls on your behalf using VoIP, handling conversations automatically through OpenAI's Real-Time Voice API. Simply tell Claude what you want to accomplish and it will call and manage the entire conversation for you.

安装状态

已补齐

命令预览

npx 立即运行(无需安装) ⚡

开发工具stdio

全面解析Camdenclark Anki MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Camdenclark Anki MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

搜索检索stdio

Provides job search functionality using Careerjet API with features for keyword and location-based searches, advanced filtering, and support for 50+ countries and languages.

安装状态

已补齐

命令预览

pip install -r requirements.txt

搜索检索stdio

一个基于模型上下文协议(MCP)的中国节假日和农历信息服务器,为AI助手提供准确的法定节假日、调休安排、中国传统节日、农历转换、二十四节气和八字计算功能。西方节日都是固定公历日期,不需要查询工具。\\r\\n\\r\\n项目地址:https://github.com/Eis4TY/china-festival-mcp

安装状态

已补齐

命令预览

uvx china-festival-mcp [object Object]

AI代理stdio
Claude-octopus logo

Claude-octopus

claude-octopus

One brain, many arms. Spawn multiple specialized Claude Code agents as MCP servers via the Agent SDK. Each instance gets its own model, tools, prompt, and personality.

安装状态

已补齐

命令预览

CLAUDE_PERMISSION_MODE={CLAUDE_PERMISSION_MODE} npx claude-octopus [object Object]

运维云端stdio

Control virtual computers through the Model Context Protocol (MCP).

安装状态

已补齐

命令预览

ORGO_API_KEY={ORGO_API_KEY} ANTHROPIC_API_KEY={ANTHROPIC_API_KEY} python computer_mcp_server...

搜索检索stdio

An MCP server that enables interaction with the Daft.ie API for searching rental properties and retrieving detailed information about specific rental listings.

AI代理stdio
DC

DCL Evaluator

@smithery/cli@latest

Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com

安装状态

已补齐

命令预览

DCL_API_KEY={DCL_API_KEY} npx -y @smithery/cli@latest run dcl-evaluator--fronesislabs --key ...

开发工具stdio
Deep Thinker logo

Deep Thinker

deep-thinker

Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation. A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management. Features DAG-Based Thought Graph — Thoughts form a directed acyclic graph with branching, merging, and cross-edges (not just a linear chain) 5 Reasoning Strategies — Sequential, Dialectic (thesis→antithesis→synthesis), Parallel, Analogical, Abductive (inference to best explanation) Confidence Scoring — Multi-factor confidence evaluation with support/contradiction analysis, depth penalties, and knowledge integration boosts Self-Critique — Automatic critique generation with severity levels and confidence adjustments Metacognitive Engine — Detects stuck states, stagnation, declining confidence; suggests strategy switches and corrective actions Knowledge Integration — Attach external knowledge to thoughts, detect gaps, validate consistency across sources Thought Pruning — Dead-end detection, redundancy removal, deep unproductive branch elimination, path optimization

安装状态

已补齐

命令预览

npx -y deep-thinker [object Object]

AI代理stdio

Connect AI agents to OP.GG Esports data and retrieve upcoming League of Legends match schedules effortlessly. Access structured match information through a standardized interface, enhancing your AI's capabilities with real-time esports data.

安装状态

已补齐

命令预览

npx -y @smithery/cli install @opgginc/esports-mcp --client claude

AI代理stdio

A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.

安装状态

已补齐

命令预览

pip install fastapi-mcp`。

搜索检索stdio

This implementation follows the official MCP specification, including proper message framing, transport layer implementation, and complete protocol lifecycle management. It provides a foundation for building federated MCP systems that can scale across multiple servers while maintaining security and standardization requirements.