mcp-semantic-scholar-server
Language:
Python
Stars:
10
Forks:
5
Semantic Scholar API MCP server
Made with FastMCP
Requirements: pip install fastmcp aiohttp pydantic uvicorn
API Key
To use the Semantic Scholar API with higher rate limits, you can set your API key as an environment variable:
export SEMANTIC_SCHOLAR_API_KEY="your_api_key"
You can get an API key by filling out the form at: https://www.semanticscholar.org/product/api
Usage
Run fastmcp dev path/to/semantic-scholar-plugin.py
to initialize the server.
Run fastmcp install path/to/semantic-scholar-plugin.py
to install to claude or add following to claude/cline config:
"semantic-scholar": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"\path\to\semantic-scholar-plugin.py"
]
}
If you see things like INFO Processing request of type __init__.py:431 ListToolsRequest
in cline, you can ignore them as this will not affect it from working, this is due to current incomplete impliementation of the function discription and listing support.
Publisher info
benhaotang
Graduate student in Theoretical Physics @Uni-Heidelberg
More MCP servers built with Python
Unified Context Layer (UCL) is a multi-tenant Model Context Protocol (MCP) server that enables AI agents, automation platforms, and applications to connect to over 1,000 SaaS tools—such as Slack, Jira, Gmail, Shopify, Notion, and more—via a single standardized /command endpoint.
Bridge the gap between design and code. Send pixel-perfect website components directly to Cursor or Claude Code using Model Context Protocol (MCP). No more screenshots or descriptions needed.