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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

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36,828

最近生成

2026-05-22

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Enables WordPress content extraction, keyword research using Google autocomplete and Trends data, and generation of SEO-optimized content with quality metrics.

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Enables log analysis, searching, counting, and system metrics retrieval (CPU, memory, disk) via natural language, using 5 tools that can be integrated with Claude Code.

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An MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.

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Search 1000+ local food producers in Norway. Natural language, Norwegian & English. Tools: lokal_search, lokal_discover, lokal_info, lokal_stats

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Enables AI models to query and analyze Kubernetes cluster logs through Grafana Loki, supporting semantic operations like error aggregation and pod restart detection. It provides tools for regex-based log searching and namespace discovery to facilitate natural language troubleshooting.

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Closes the find-download-install loop for lutris-mcp by searching Prowlarr, downloading via qBittorrent, polling until complete, classifying the result, and returning a path for installation.

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A local smart tool collection based on MCP that enables AI assistants to perform file management, document editing, shell execution, semantic retrieval, and text processing.

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A production-ready MCP server for macOS that provides async, cache-backed access and background queued writes to Apple Notes. It enables seamless integration for reading, creating, and managing notes through standard tools like ScriptingBridge while supporting background service execution.

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Enables reading and writing macOS system defaults and settings through commands equivalent to the defaults command-line tool. Supports listing domains, searching for settings, and modifying system preferences programmatically.

文档知识未说明

Provides offline, high-accuracy OCR capabilities for images and PDFs using macOS's built-in Vision framework. Supports multi-language text extraction with intelligent block aggregation for tables and paragraphs, outputting structured JSON data suitable for document reconstruction.

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Enables AI-powered browser automation and test development within the Magni automation framework. It allows users to leverage AI models for executing browser tasks and analyzing automated test failure results.

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