Zenodo MCP

by MSKazemi

334 downloads
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GitHub

About

Tool-based LLM integration with Zenodo via the Model Context Protocol (MCP)

Details

Author
MSKazemi
Downloads
334
Categories
Other, API, AI

- Search and retrieve Zenodo records
- Get citations in multiple formats (BibTeX, APA, etc.)
- Automatically classify Zenodo records by data type
- Access detailed metadata of records
- List and download files from records

Choose the implementation that fits your workflow. For Cursor IDE integration, clone the repository, install dependencies (pip install -r requirements.txt), and configure via an mcp.json file. For LLM framework integration, clone the repository, copy .env.example to .env and add your Zenodo API token, then run the API server with uvicorn server.main:app --host 0.0.0.0 --port 8000.

Zenodo MCP

A comprehensive toolkit for interacting with Zenodo records through the Model Context Protocol (MCP), providing two distinct implementations for different use cases.

Repository Structure

This repository contains two main implementations:

1. MCP SDK Core (/mcp_sdk_core): A Python-based MCP server implementation designed for integration with Cursor IDE and other MCP-enabled environments.
2. MCP API (/mcp_api): A FastAPI-based service that provides MCP-compatible tools for integration with LLM frameworks like LangChain and LangGraph.

Implementation Differences

MCP SDK Core

The MCP SDK Core implementation is designed for direct integration with MCP-enabled environments like Cursor IDE. It provides:

- Direct MCP Integration: Follows the Model Context Protocol standard developed by Anthropic
- Cursor IDE Compatibility: Seamlessly integrates with Cursor's MCP extension
- Simple Configuration: Managed through a JSON config file
- Unified API: Standardized access to Zenodo resources

This implementation is ideal for developers who want to access Zenodo directly from their development environment without additional middleware.

Learn more about the MCP SDK Core implementation →

MCP API

The MCP API implementation is a FastAPI-based service that provides MCP-compatible tools for integration with LLM frameworks. It offers:

- LangChain Integration: Seamless integration with LangChain agents and tools
- LangGraph Compatibility: Support for LangGraph workflows and graphs
- OpenAI-Compatible API: Can be used with OpenAI-compatible clients
- LibreChat Support: Compatible with LibreChat and similar platforms
- Custom Tool Creation: Extensible architecture for creating custom tools

This implementation is ideal for developers building LLM applications that need to interact with Zenodo as part of a larger workflow.

Learn more about the MCP API implementation →

Features

Both implementations provide access to Zenodo's rich repository of research outputs:

- Search and Retrieve Records: Find and access Zenodo records
- Get Citations: Retrieve citations in various formats (BibTeX, APA, etc.)
- Detect Data Types: Automatically classify Zenodo records
- Access Metadata: Get detailed information about records
- List and Download Files: Browse and download files from records

Getting Started

Choose the implementation that best fits your needs:

For Cursor IDE Integration

```bash

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