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FastMCP SSE Server – Research Paper Agent MCP Server

@selinazarzour

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

selinazarzour

关于 FastMCP SSE Server – Research Paper Agent MCP Server

暂无概览

#mcp-server#research-paper-agent#fastmcp

FastMCP SSE Server – Research Paper Agent MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-selinazarzour": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "--system",
        "."
      ]
    }
  }
}

FastMCP SSE Server – Research Paper Agent MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🧠 FastMCP SSE Server – Research Paper Agent?

A deployable MCP-compatible remote server built with FastMCP. It exposes tools for searching academic papers on arXiv, extracting saved paper details, and generating structured prompts for Claude or other LLM agents.

How to use 🧠 FastMCP SSE Server – Research Paper Agent?

Connect any MCP client that supports SSE transport (e.g., Claude, GPT) to the live server at https://mcp-server-vs1x.onrender.com/sse. For local use, clone the repo, install dependencies with uv, and run uv run main.py to start the server on localhost:8001/sse.

Key features of 🧠 FastMCP SSE Server – Research Paper Agent

  • search_papers(topic): Search and save top arXiv papers by topic
  • extract_info(paper_id): Retrieve paper details from stored JSON
  • get_topic_papers(topic): Read summaries for all papers in a topic
  • get_available_folders(): List all saved topic folders
  • Prompt template for Claude to generate full topic reports
  • Uses SSE transport for remote MCP client communication

Use cases of 🧠 FastMCP SSE Server – Research Paper Agent

  • Automate literature searches on arXiv for any research topic
  • Build agent workflows that extract and store metadata from academic papers
  • Generate structured research reports with Claude using the built‑in prompt template

常见问题

1

What does this server do?

It is an MCP remote server that provides tools to search arXiv papers, extract saved paper info, list topics, and generate structured prompts for LLMs.

2

What transport does it use?

It uses SSE (Server‑Sent Events) transport, making it compatible with any MCP client that supports SSE.

3

What are the runtime requirements?

Python 3.11+, the `uv` package manager, and optionally Docker for deployment on Render.com.

4

How can I test the server locally or remotely?

Remotely, visit the live SSE URL or use the MCP Inspector (`npx @modelcontextprotocol/inspector`) with SSE transport and the server’s URL. Locally, run `uv run main.py` and connect to `localhost:8001/sse`.

5

How is data stored?

Paper information is saved locally in a `papers/` directory as JSON files when using search and extraction tools.

评论

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