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MCP 工具与服务目录

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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

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Enables access to Instagram data through EnsembleData API, allowing retrieval of user information, posts, reels, follower counts, and search functionality for users, hashtags, and locations.

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Enables AI applications to interact with Instagram Business accounts through the Graph API, supporting profile management, media publishing, insights retrieval, and direct messaging capabilities.

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Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.

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Allows LLMs to access, scan, and search photos on connected iOS devices via USB using libimobiledevice and ChromaDB. It supports semantic search, metadata filtering, and automated file organization for efficient media management.

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Relying on a global honeypot network and an IP intelligence analysis platform built with millions of nodes, it provides precise IP profiling and threat early warning services.

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Serves the Australian Cyber Security Centre Information Security Manual (ISM) via MCP, providing access to all historical and current versions, search, and comparison tools.

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A secure, isolated environment for exploring Python development with Model Context Protocol (MCP) and Language Server Protocol (LSP)

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Provides AI agents with access to file metadata, vector search, and workflow metrics. It enables operations such as file metadata retrieval and semantic search over file embeddings using pgvector.

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DEVONthink 4 connector with six tools for search, retrieval, and write operations. Dry-run by default, append-only audit log, selective undo via audit_id; macOS-only, MIT, local-only, clean-room implementation.

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MCP server for I Want My MTG that enables conversational search of Magic: The Gathering cards/sets and inventory management via API tools.

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Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.