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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

数据服务未说明

Enables AI editors to install, monitor, and query Stockyard's collection of 150 self-hosted developer tools. Manages lightweight Go-based tools with embedded SQLite databases without requiring Docker or external dependencies.

数据服务未说明

Enables querying and retrieving data from App Store and Google Play Store, including app details, reviews, ratings, rankings, permissions, and search capabilities across both iOS and Android platforms.

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A Model Context Protocol server that provides tools for interacting with the STRING database to analyze protein-protein interaction networks and functional enrichment. It enables users to map protein identifiers, retrieve interaction data, and generate biological network visualizations through natural language interfaces.

文档知识未说明

Enables interaction with Substack publications through natural conversation, allowing users to create posts with cover images, publish notes, manage content, and retrieve profile information.

文档知识未说明

Enables programmatic management of Substack content, including creating drafts, publishing posts, and uploading images. It supports specialized features like live blogging and posting to Substack Notes through MCP-compatible AI tools.

文档知识未说明

A foundation layer for building production-grade Model Context Protocol (MCP) servers with base classes, documentation, and consistent implementation patterns.

数据服务未说明

A FastAPI-based application that enables document embedding and semantic retrieval using Qdrant vector database, allowing users to convert documents into embeddings and retrieve relevant content through natural language queries.

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A local policy wrapper for Supabase MCP that secures access tokens and enforces strict execution models, including project allowlists and write-access restrictions. It provides a safety layer to prevent AI agents from accidentally executing migrations or writing SQL against production environments.

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Provides 43 tools for complete Supabase control including database operations, storage management, authentication, edge functions, and admin tasks through an HTTP API designed for n8n integration.

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Connects AI assistants to Supabase projects to manage databases, execute SQL queries, and handle project configurations. It enables tasks like table management, edge function deployment, and log retrieval through the Model Context Protocol.

数据服务未说明

Connects Supabase projects to AI assistants, enabling them to manage database tables, execute SQL queries, and deploy Edge Functions through natural language. It provides a comprehensive suite of tools for project administration, including logs access, documentation search, and environment configuration.

数据服务未说明

An MCP server utilizing Supabase to provide memory and knowledge graph storage, enabling multiple Claude instances to share and manage data with database-level locking for safe concurrent access.

数据服务未说明

SupaThings MCP is a macOS server that enables AI agents to read and manage Things 3 data by combining SQLite-based queries with official URL-scheme commands. It provides over 30 tools for project structural analysis and task placement, allowing agents to understand and interact with tasks while maintaining safe interoperability.

数据服务未说明

Provides an MCP server with a fetch_url tool for making HTTP requests alongside a private registry for hosting and managing server metadata. The registry implements the official MCP OpenAPI specification using a Hono-based REST API and SQLite.

文档知识未说明

全面解析SupermemoryMCP 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,Supermemory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。

数据服务未说明

An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.

数据服务未说明

A FastAPI-based server that enables executing SQL queries, managing database connections, and retrieving analytics reports through MCP-integrated endpoints. It allows users to interact with database schemas, performance metrics, and access logs using structured queries.