Mcp Semantic Scholar Server
What is Mcp Semantic Scholar Server
The mcp-semantic-scholar-server is a specialized MCP server designed to interface with the Semantic Scholar API, enabling users to search for academic papers efficiently.
Use cases
Use cases for the mcp-semantic-scholar-server include academic research, literature reviews, and any scenario where users need to access and search for scholarly articles quickly and effectively.
How to use
To use the mcp-semantic-scholar-server, first install the required dependencies by running ‘pip install -r requirements.txt’. Then, initialize the server using ‘mcp dev path/to/semantic-scholar-plugin.py’. For installation to Claude, configure the command in the claude/cline config file as specified in the README.
Key features
Key features include integration with the Semantic Scholar API for paper searches, support for environment variable API keys for higher rate limits, and compatibility with both Linux and macOS systems.
Where to use
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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 Semantic Scholar Server
The mcp-semantic-scholar-server is a specialized MCP server designed to interface with the Semantic Scholar API, enabling users to search for academic papers efficiently.
Use cases
Use cases for the mcp-semantic-scholar-server include academic research, literature reviews, and any scenario where users need to access and search for scholarly articles quickly and effectively.
How to use
To use the mcp-semantic-scholar-server, first install the required dependencies by running ‘pip install -r requirements.txt’. Then, initialize the server using ‘mcp dev path/to/semantic-scholar-plugin.py’. For installation to Claude, configure the command in the claude/cline config file as specified in the README.
Key features
Key features include integration with the Semantic Scholar API for paper searches, support for environment variable API keys for higher rate limits, and compatibility with both Linux and macOS systems.
Where to use
undefined
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
Semantic Scholar API MCP server
Made with mcp-python-sdk
[!IMPORTANT]
if you are still using FastMCP version of this mcp server, please consider pull this repo again and update to newer versions as FastMCP is already deprecated.
Usage
Requirements: pip install -r requirements.txt
Run mcp dev path/to/semantic-scholar-plugin.py to initialize the server.
Run mcp install path/to/semantic-scholar-plugin.py to install to claude or add following to claude/cline config:
[!NOTE]
Currently usinguvwithmcpseems to break certain Linux/macOS version of Claude-desktop, you might need to set as:instead, with
/path/to/mcpgot from runningwhich mcpin terminal
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"
or set by adding an env key in mcp settings by:
You can get an API key by filling out the form at: https://www.semanticscholar.org/product/api
Suggested Agent System prompt
See: benhaotang/my_agent_system_prompt, the AI pre-research agent that can make full use of this mcp server.
Known issues
- If you see things like
INFO Processing request of type __init__.py:431 ListToolsRequestin cline, you can ignore them as this will not affect it from working, this is because cline parse tool list together with console debug infos, and current python-sdk cannot disable console messages. This will not affect any function calling part other than seeing this warning.
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.
