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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

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Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)

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Clinical research MCP server providing real-time access to PubMed (35M+ papers) and ClinicalTrials.gov (400K+ trials). Built for trial coordinators and life sciences teams. No API key required.

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Enables semantic search across the Arke Institute's extensive archive of NARA records and presidential libraries using natural language queries. Provides access to millions of historical documents, photographs, and records with OCR'd content and complete metadata.

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AnchorRegistry is the open provenance layer for the agentic economy. Every digital artifact — code, research, data, models, media, agents, transactions — can be anchored to Base L2 with a permanent, machine-resolvable identifier (an AR-ID). When an AI assistant encounters an SPDX-Anchor or DAPX-Anchor tag in a README, paper, model card, or website, this MCP server lets it resolve the artifact's full provenance record in one call: who anchored it, when, what type it is, manifest hash, and whether the tree has been sealed, retracted, voided, or affirmed.\\r\\n\\r\\nThis is the verify-only edition (v0.1). Three read-only, authless tools wrap the public AnchorRegistry verify endpoints. Free, no API key, no account, no rate limit beyond defaults. Future versions will add registration, balance, and seal tools once the MCP credential pattern stabilizes.

安装状态

已补齐

命令预览

npx mcp-remote https://mcp.anchorregistry.ai/mcp [object Object]

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A production-ready MCP server that enables interaction with the AroFlo API to manage quotes, projects, and labor reporting. It features secure request signing and exposes API documentation as resources for enhanced context and tool surface.

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全面解析Arre Ankit Notion 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,Arre Ankit Notion 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。

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Enables AI agents to save, search, and manage markdown-based research articles through a complete CRUD interface. Supports creating, reading, updating, and deleting articles with frontmatter metadata in a self-hosted file-based system.

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Enables multi-source literature search, full-text retrieval, reference analysis, and journal quality assessment across Europe PMC, PubMed, arXiv, CrossRef, OpenAlex, and EasyScholar via the MCP protocol.

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Provides tools to search for arXiv papers, retrieve full-text HTML content via ar5iv, and download papers as PDFs. This server enables LLMs to find and interact with scientific research literature through a standardized interface.

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MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

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Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.

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Enables querying and discovering the latest arXiv papers by category or keyword, providing structured metadata including titles, authors, summaries, and links for research assistance and literature review workflows.

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Enables searching and retrieving arXiv papers by topic, fetching abstracts by paper ID, and saving markdown content to files. Includes examples of integrating MCP tools with Google Gemini for AI-powered paper research.

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A paper retrieval and content parsing tool based on arXiv, supporting paper search, PDF link retrieval, and content parsing functions, suitable for obtaining the latest papers in academic research and AI fields.

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全面解析Arxiv Paper MCPMCP 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,Arxiv Paper MCP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。

安装状态

已补齐

命令预览

npx @langgpt/arxiv-paper-mcp

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Enables researchers to search ArXiv papers, extract key insights (problems, methods, results) from abstracts, and perform ML-powered analysis including topic modeling, trend visualization, and author collaboration networks.

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Provides search functionality for arXiv.org papers through the official arXiv API, allowing users to search papers by keywords, filter by subject categories and date ranges, and receive comprehensive metadata including PDF links.