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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

87,637

可复制安装

36,826

最近生成

2026-05-22

数据服务未说明

Enables exploration and interaction with South Korea's Public Data Portal (OpenAPI) through keyword search, standard documentation retrieval, and direct API endpoint calls with automatic service key injection.

数据服务未说明

Enables LLMs to interact with OpenEHR electronic health record systems by retrieving clinical archetypes, generating AQL queries from natural language, and executing queries against on-premise EHR databases. Supports OpenEHR Clinical Knowledge Manager integration and custom IIS-hosted EHR APIs for comprehensive medical data access.

文档知识未说明

Provides access to Open-E JovianDSS REST API documentation for intelligent search, endpoint analysis, and version comparison. It enables developers to integrate and interact with JovianDSS storage services through natural language via the Model Context Protocol.

开发工具未说明

An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.

搜索检索未说明

Enables philosophical reasoning and concept analysis through NARS non-axiomatic logic integration, supporting multi-perspective synthesis, epistemic uncertainty tracking, and contextual semantic exploration with built-in truth maintenance.

设计创作未说明

Open Ephemeris is a high-precision astrology API with an MCP server exposing 116+ endpoints across natal charts, transits, synastry, Human Design, BaZi, solar returns, and much more.

开发工具未说明

Q-learning memory for Claude Code. Persistent memory that learns which context helps you get work done. Memories that lead to productive sessions (commits, PRs, tests) earn higher retrieval rank automatically. 16 MCP tools, hybrid BM25 + vector + Q-value scoring, local-first with Qdrant + FastEmbed.

开发工具未说明

Provides OpenFeature SDK installation guidance through MCP tool calls. Enables AI clients to fetch installation prompts and setup instructions for various OpenFeature SDKs across different programming languages and frameworks.

开发工具未说明

Provides OpenFeature SDK installation guidance for various programming languages and enables feature flag evaluation through the OpenFeature Remote Evaluation Protocol (OFREP). Supports multiple AI clients and can connect to any OFREP-compatible feature flag service.

运维云端未说明

Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.

开发工具未说明

An MCP server that enables interaction with the OpenFIGI API, allowing users to map securities to financial instrument identifiers through natural language.

运维云端未说明

A plug-and-play solution that enhances AI assistants by enabling them to create projects, manage configurations, and interact with Openfort's wallet infrastructure through 42 specialized tools.

运维云端未说明

Enables AI assistants to interact with Openfort's wallet infrastructure, allowing them to create projects, manage configurations, generate wallets and users, and query documentation through 42 integrated tools.

搜索检索未说明

An MCP server that turns natural-language descriptions into interactive HTML/JS UI components, leveraging OpenGenerativeUI and AG-UI protocol.

数据服务未说明

MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.

AI代理未说明

Production-ready MCP server for Greenhouse ATS with 175 tools for recruiting teams — manage candidates, applications, jobs, interviews, and hiring pipelines. Role-based profiles (full/recruiter/read-only), composite workflow tools for pipeline views, analytics, candidate search, and bulk operations.

AI代理未说明

Enables AI agents to traverse SysML v2 model graphs, query requirements, and perform impact analysis for model-based systems engineering. It allows agents to interact with plain-text models to automate documentation and refine system architectures.