MCP Research Server
by elie
The MCP Research Server is a FastMCP server designed for searching and extracting research papers from arXiv. It provides a way to quickly access and retrieve relevant academic publications.
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What is MCP Research Server?
The MCP Research Server is a FastMCP server that allows users to search and extract research papers specifically from the arXiv repository. It provides an efficient way to find relevant academic publications.
How to use MCP Research Server?
For local development, use uv run research_server.py. For deployment on Render.io, the project includes requirements.txt, render.yaml, and runtime.txt. Push your code to GitHub, create a new Web Service on Render, connect your GitHub repository, and the service will automatically deploy.
Key features of MCP Research Server
Fast searching of arXiv papers
Extraction of research papers
Local development support with uv
Render.io deployment configuration
Dependency management with uv
Use cases of MCP Research Server
Researchers needing to quickly find papers on arXiv
Developers building applications that require access to academic publications
Students conducting literature reviews
Automated research paper analysis
FAQ from MCP Research Server
What is arXiv?
What is arXiv?
arXiv is a repository of electronic preprints approved for posting after moderation, but not peer review. It consists of scientific papers in the fields of mathematics, physics, astronomy, computer science, quantitative biology, statistics, electrical engineering and systems science, and economics.
What is FastMCP?
What is FastMCP?
FastMCP is likely a custom protocol or framework used within the server for efficient data processing and retrieval. More context would be needed for a precise definition.
How do I update dependencies?
How do I update dependencies?
When you update pyproject.toml dependencies, remember to regenerate requirements.txt using the command: uv pip compile pyproject.toml --no-emit-find-links > requirements.txt
What Python version is used on Render.io?
What Python version is used on Render.io?
The Render.io deployment uses Python 3.11.11, as specified in the runtime.txt file.
Where can I find the deployment configuration?
Where can I find the deployment configuration?
The deployment configuration for Render.io is located in the render.yaml file.