Overview

OpenDataMCP

Description:
Connect and serve open datasets to LLMs through standardized protocol servers

Category: Data Integration & Access

Overview: OpenDataMCP simplifies access to public datasets for LLM applications. The project focuses on two main aspects:

Data Access

Quick setup of servers via CLI tool
Currently supports Claude integration
Streamlined access to multiple public datasets

Server Setup

Uses UV package manager for dependencies
Modular provider system for different data sources
Built-in testing framework and templates

Installation:

For macOS:

brew install uv

For Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Basic Usage:

uvx odmcp                    # Show commands
uvx odmcp list              # List providers
uvx odmcp info PROVIDER     # Provider info
uvx odmcp setup PROVIDER    # Setup server
uvx odmcp remove PROVIDER   # Remove server

Server Configuration:

{
  "mcp-server-opendata": {
    "command": "path-to/bin/node",
    "args": ["path-to/mcp-serve/"],
    "env": {
      "DATA_SOURCE": "PROVIDER_API_PATH"
    }
  }
}

Key Features:

Template-based provider creation
Pydantic models for data validation
Comprehensive testing framework
Minimal external dependencies
Type-safe implementations

Technical Notes:

Supports both Tool and Resource implementations
Follows standardized protocol specifications
Built-in error handling and validation
Modular architecture for easy scaling

Currently focused on Claude integration with plans to expand to other LLM platforms.