mcp-semantic-scholar-server
This project is a Semantic Scholar API server built using the mcp-python-sdk. It allows for enhanced API usage and seamless integration with AI pre-research agents. Users can set API keys for higher rate limits and resolve known logging issues without affecting functionality.
How do I install the Semantic Scholar API MCP server?
Run mcp dev path/to/semantic-scholar-plugin.py to initialize the server and mcp install path/to/semantic-scholar-plugin.py to install it.
How can I increase the API request limits?
You can increase the request limits by setting your API key as an environment variable or in the MCP settings.
What should I do if I encounter issues with uv on Linux/macOS?
If uv causes issues, set the command to /path/to/mcp obtained from running which mcp in the terminal.
Where can I get an API key for Semantic Scholar?
You can obtain an API key by filling out the form at the Semantic Scholar API website.
What does the suggested agent system prompt do?
The suggested agent system prompt enhances AI pre-research capabilities by making full use of the MCP server.