Mcp Research Server
What is Mcp Research Server
The mcp-research-server is a FastMCP server designed for searching and extracting research papers from arXiv, facilitating easy access to academic literature.
Use cases
Use cases include building academic research tools, creating educational platforms, and developing applications that require access to a large database of research papers.
How to use
To use mcp-research-server, run the command ‘uv run research_server.py’ for local development. For deployment on Render.io, push your code to GitHub, create a new Web Service on Render, and connect your repository to automatically set up the server.
Key features
Key features include fast searching capabilities, integration with arXiv for research paper extraction, and easy deployment configurations for Render.io.
Where to use
mcp-research-server can be used in academic research, educational institutions, and by developers needing to access and analyze research papers efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Research Server
The mcp-research-server is a FastMCP server designed for searching and extracting research papers from arXiv, facilitating easy access to academic literature.
Use cases
Use cases include building academic research tools, creating educational platforms, and developing applications that require access to a large database of research papers.
How to use
To use mcp-research-server, run the command ‘uv run research_server.py’ for local development. For deployment on Render.io, push your code to GitHub, create a new Web Service on Render, and connect your repository to automatically set up the server.
Key features
Key features include fast searching capabilities, integration with arXiv for research paper extraction, and easy deployment configurations for Render.io.
Where to use
mcp-research-server can be used in academic research, educational institutions, and by developers needing to access and analyze research papers efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Research Server
A FastMCP server for searching and extracting research papers from arXiv.
Local Development
This project uses uv for dependency management:
uv run research_server.py
Deployment on Render.io
Render.io doesn’t support uv natively, so this project includes:
requirements.txt: Generated from pyproject.toml usinguv pip compilerender.yaml: Render deployment configurationruntime.txt: Specifies Python version for Render
To deploy:
- Push your code to GitHub
- Create a new Web Service on Render
- Connect your GitHub repository
- The service will automatically:
- Use Python 3.11.11
- Install dependencies from requirements.txt
- Start the server on port provided by Render
When you update pyproject.toml dependencies, remember to regenerate requirements.txt:
uv pip compile pyproject.toml --no-emit-find-links > requirements.txt
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
