Semanticscholar Universal MCP Server

What is Semanticscholar Universal MCP Server about?

Provides an implementation of a Semantic Scholar Universal MCP server that exposes the platform's tools and services via a common API, ensuring compatibility with other MCP‑compliant applications.

How to use Semanticscholar Universal MCP Server?

1. Prerequisites – Install Python 3.11+ and uv (pip install uv).
2. Install dependencies – Run uv sync to create a virtual environment and install all packages from pyproject.toml.
3. Activate the environment – source .venv/bin/activate (Linux/macOS) or .venv\Scripts\Activate (Windows PowerShell).
4. Start the MCP inspector – Execute mcp dev src/universal_mcp_semanticscholar/server.py and note the displayed address/port.
5. Install the application – Run mcp install src/universal_mcp_semanticscholar/server.py.
6. Access – The server can now be called via the MCP endpoint or through the UI at agentr.dev/apps.

Key Features of Semanticscholar Universal MCP Server

• Unified MCP‑based interface for all Semantic Scholar functionalities.
• Built on the Universal MCP framework for seamless integration with other MCP services.
• Fully typed Python implementation with easy local development using uv.
• Comprehensive tool list documented in src/universal_mcp_semanticscholar/README.md.
• MIT licensed for unrestricted commercial and academic use.

Use Cases of Semanticscholar Universal MCP Server

• Research assistants that need programmatic access to paper metadata, citations, and abstracts.
• AI agents that query scholarly information to augment reasoning or generate literature reviews.
• Workflow automation where Semantic Scholar data is combined with other APIs in a single MCP pipeline.
• Prototyping search‑driven applications that require fast, standardized access to scholarly resources.

FAQ from the Semanticscholar Universal MCP Server

Q: Do I need an API key? A: Basic functionality works without a key; optional environment variables can be added for premium endpoints.

Q: Which Python version is required? A: Python 3.11 or newer is recommended.

Q: Can I deploy this server in production? A: Yes, run the same mcp dev command in your production environment or containerize the service.

Q: Where can I find the list of available tools? A: The full list is in src/universal_mcp_semanticscholar/README.md.

Q: How is the project licensed? A: Under the MIT License.

Semanticscholar Universal MCP Server

This repository contains an implementation of an Semanticscholar Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Semanticscholar's tools and services through a unified API.

The server is built using the Universal MCP framework.

This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.

Usage

You can start using Semanticscholar directly from agentr.dev. Visit agentr.dev/apps and enable Semanticscholar.

If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart

Available Tools

The full list of available tools is at ./src/universal_mcp_semanticscholar/README.md

Local Development

📋 Prerequisites

Ensure you have the following before you begin:

• Python 3.11+ (recommended)
• uv (install globally with pip install uv)

🛠️ Setup Instructions

Follow the steps below to set up your development environment:

1. Sync Project Dependencies

   uv sync
   

   This installs all dependencies from pyproject.toml into a local virtual environment (.venv).

2. Activate the Virtual Environment

   For Linux/macOS:

   source .venv/bin/activate
   

   For Windows (PowerShell):

   .venv\Scripts\Activate
   

3. Start the MCP Inspector

   mcp dev src/universal_mcp_semanticscholar/server.py
   

   This will start the MCP inspector. Make note of the address and port shown in the console output.

4. Install the Application

   mcp install src/universal_mcp_semanticscholar/server.py
   

📁 Project Structure

.
├── src/
│   └── universal_mcp_semanticscholar/
│       ├── __init__.py       # Package initializer
│       ├── server.py            # Server entry point
│       ├── app.py            # Application tools
│       └── README.md         # List of application tools
├── tests/                    # Test suite
├── .env                      # Environment variables for local development
├── pyproject.toml            # Project configuration
└── README.md                 # This file

📄 License

This project is licensed under the MIT License.

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