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Semantic Scholar API MCP Server: Rapid Search & Analysis - MCP Implementation

Semantic Scholar API MCP Server: Rapid Search & Analysis

Power your research with the Semantic Scholar API MCP Server—rapidly search, analyze, and access cutting-edge papers, driving breakthroughs effortlessly.

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About Semantic Scholar API MCP Server

What is Semantic Scholar API MCP Server: Rapid Search & Analysis?

Designed to streamline academic research, this server acts as a bridge between the Semantic Scholar API and tools like Claude. Built with the MCP Python SDK, it enables rapid querying of scholarly papers, citations, and datasets. Ideal for developers aiming to integrate robust search capabilities into their workflows without sacrificing speed or accuracy.

How to Use Semantic Scholar API MCP Server: Rapid Search & Analysis?

  1. Install dependencies via pip install -r requirements.txt
  2. Initialize the server with mcp dev path/to/semantic-scholar-plugin.py
  3. Configure for Claude by either:
    • Adding a JSON snippet to your config file (see note below for OS-specific tweaks)
    • Or running mcp install path/to/semantic-scholar-plugin.py
  4. For Linux/macOS users encountering Claude-desktop issues, manually set the MCP path using which mcp to bypass uv compatibility problems

Semantic Scholar API MCP Server Features

Key Features of Semantic Scholar API MCP Server: Rapid Search & Analysis

  • API Key Support: Boost request limits by setting SEMANTIC_SCHOLAR_API_KEY in environment variables or MCP config
  • Seamless Integration: Works natively with Claude via MCP protocol
  • Diagnostic Mode: Real-time request tracking (though some debug logs may appear in cline by default)
  • OS Compatibility: Tested on Windows/macOS/Linux with explicit troubleshooting guidance

Use Cases of Semantic Scholar API MCP Server: Rapid Search & Analysis

Perfect for scenarios requiring:

  • Automated literature reviews in research pipelines
  • On-demand citation verification during paper drafting
  • Dataset exploration for academic projects
  • Building custom search interfaces with Semantic Scholar's extensive catalog

Semantic Scholar API MCP Server FAQ

FAQ from Semantic Scholar API MCP Server: Rapid Search & Analysis

Why do I see "ListToolsRequest" messages in cline?

These are harmless debug logs from the MCP protocol. The server is functioning normally unless accompanied by error codes.

How do I handle compatibility issues on Linux/macOS?

If uv causes errors, replace it in your config with the direct MCP path found via which mcp. This bypasses shell interpreter conflicts.

Where do I get an API key?

Visit the official Semantic Scholar API page to request access and configure your account permissions.

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:

"semantic-scholar": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp",
        "mcp",
        "run",
        "/path/to/semantic-scholar-plugin.py"
      ]
    }

[!NOTE] Currently using uv with mcp seems to break certain Linux/macOS version of Claude-desktop, you might need to set as:

"semantic-scholar": {
      "command": "/path/to/mcp",
      "args": [
        "run",
        "/path/to/semantic-scholar-plugin.py"
      ]
    }

instead, with /path/to/mcp got from running which mcp in 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:

"semantic-scholar": {
      "command": ...,
      "args": ...,
      "env": {
        "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

Known issues

  • 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 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.

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