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

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.

What transport does it use?

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

What are the runtime requirements?

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

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`.

How is data stored?

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

数据与分析分类下的更多 MCP 服务器

hedwigai

Research workbooks your agent keeps current: spreadsheets and memos where every figure cites its primary source (SEC filings, customs records, trial registries), plus data programs such as website traffic for 1,000 domai

Beamtrace

Elfsight

An MCP server that connects an agent to your Beamtrace AI visibility data. It exposes tools to analyze your score, explain a shift, see where a competitor is ahead, and pull the fix behind a visibility gap. Ready to plug

EximAgent

AI sales team for export-import businesses: specialist agents for outbound prospecting, trade data analysis and compliance (HS codes, tariffs, landed cost, OFAC sanctions).

QQQ AI Visibility Checker

Meelis Vill

Connect the free QQQ AI Visibility Checker to Claude, ChatGPT, Cursor or VS Code: a public MCP server at https://qqq.ee/mcp, no API key, two read-only tools.

HousingFeed

US rental listings for AI assistants: free live search and rent statistics, plus licensed feeds.