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Paper Search MCP
Paper Search MCP is an academic paper search and download server based on the MCP protocol, supporting the retrieval of papers from multiple platforms such as arXiv, PubMed, and bioRxiv, providing a standardized output format, and seamlessly integrating with large language models like Claude.
Python
4.1K
2.5 points
Arxiv
The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.
Python
7.0K
5 points
MCP Simple Arxiv
An MCP server that provides access to scientific papers via the arXiv API, supporting functions such as searching, obtaining paper metadata, and abstracts.
Python
4.4K
2.5 points
AER MCP (American Economic Association Journals)
AER-MCP is an AEA paper search server based on LLM, inspired by the arxiv-mcp-server and still under development.
Python
3.9K
2.5 points
Arxiv Search MCP
An MCP server that provides arXiv paper search and retrieval functions
TypeScript
4.1K
2.5 points
Medrxiv Research
The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search, access, and analysis of health science papers through the MCP protocol.
Python
3.8K
2.5 points
Jackkuo666 Medrxiv MCP Server
The medRxiv MCP Server is a bridge connecting AI assistants to the medRxiv preprint library, providing functions for searching, obtaining metadata, and accessing content of health science preprints via the Model Context Protocol (MCP).
Python
3.7K
2 points
Biorxiv
The bioRxiv MCP Server is a bridge connecting AI assistants with the bioRxiv preprint library, enabling the search for biological preprints and access to metadata through the MCP protocol.
Python
3.9K
2.5 points
Paperpal
PaperPal is an MCP extension tool designed to help users search for and write literature reviews, discuss papers, find new papers, and organize literature ideas through natural conversations with LLMs (such as Claude).
Python
3.9K
2.5 points
Papersearch (arXiv)
An MCP server project for configuring the Claude desktop client
Python
3.8K
2.5 points
Jackkuo666 Biorxiv MCP Server
The bioRxiv MCP Server is a bridge connecting AI assistants to the bioRxiv preprint library, enabling the search for biological preprints and access to metadata through the MCP protocol.
Python
4.1K
2 points
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Duckduckgo MCP Server
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The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
882
4.3 points
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
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Gitlab MCP Server
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The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
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Notion Api MCP
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A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
192
4.5 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
605
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Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
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4.5 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
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791
4.8 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.3K
4.7 points