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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

搜索检索未说明

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.

运维云端未说明

Enables interaction with Helm charts on ArtifactHub by providing tools to retrieve chart metadata, default values, and templates. It supports fuzzy searching within values and templates to simplify the discovery and analysis of Kubernetes packages.

AI代理未说明

An MCP server that provides AI applications with a toolset for an Artificial Virtual Assistant (AVA) integrated with the Gmail API. It enables users to automate email management and personal tasks through secure Google OAuth authentication.

数据服务未说明

A Model Context Protocol server that provides Artsy partner analytics tools for Claude Desktop, allowing users to query gallery metrics, sales data, audience insights, and content performance through natural language.

开发工具未说明

Artur's Model Context Protocol servers\ \ This repository is a collection of example implementations for the Model Context Protocol (MCP).

开发工具未说明

Enables Claude and other MCP clients to access and process arXiv papers by fetching their LaTeX source code, providing accurate interpretation of mathematical equations and notations that PDF processing often struggles with.

搜索检索未说明

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.

数据服务未说明

Enables LLMs to search, fetch, and manage arXiv research papers across various categories. It allows users to browse recent publications, query specific metadata, and retrieve full abstracts through a local database.

搜索检索未说明

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.

搜索检索未说明

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.

搜索检索未说明

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.

AI代理未说明

Enables AI assistants to search and access arXiv papers through a Model Context Protocol interface, allowing for paper search, download, listing, and reading functionality.

数据服务未说明

Enables interaction with arXiv.org to search scholarly articles, retrieve metadata, download PDFs, and load article content directly into LLM context for analysis.

搜索检索未说明

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.

搜索检索未说明

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.

搜索检索未说明

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.

搜索检索未说明

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.

搜索检索未说明

An MCP server that enables intelligent searching, filtering, and exporting of Software Engineering papers on arXiv with tools for querying by keywords, authors, analyzing trends, and finding related research.