DataHub MCP Server
About
DataHub MCP Server implementation with FastMCP 2.6.0
Details
- Author
- noreuzis
- Downloads
- 285
- Categories
- Other
Jump to
- Exposes all DataHub API endpoints as MCP tools
- Supports stdio and SSE transport modes
- Optional bearer token authentication with RSA key pairs
- JSON-based configuration with sensible defaults
- Robust error handling and detailed logging
- Type safety with complete annotations
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
DataHub MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via pip in a Python 3.8+ virtual environment, then run from the command line. Two transports are supported: stdio and SSE (default). For example, python -m src.fastmcp_server.server --transport sse --port 8000. Enable authentication with the --auth flag. Configuration is done via a JSON file or command-line arguments; available tools include over 20 DataHub API endpoints covering person, company, vehicle, process, Infobip, and market data.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"datahub mcp server": {
"mcp-datahub": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"mcp-datahub": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}DataHub MCP Server
A Model Context Protocol (MCP) server implementation that exposes DataHub API endpoints as tools for use with MCP clients. Built with FastMCP 2.6.0 and designed following Python best practices.
Features
- Comprehensive API Access: Exposes all DataHub API endpoints as MCP tools
- Multiple Transport Modes: Supports both stdio and SSE transports
- Secure Authentication: Optional bearer token authentication with RSA key pairs
- Robust Error Handling: Comprehensive error handling and detailed logging
- Flexible Configuration: JSON-based configuration with sensible defaults
- Context7 Integration: Ready for integration with Windsurf systems
- Type Safety: Complete type annotations for better IDE support
Installation
Prerequisites
- Python 3.8 or higher
- Virtual environment (recommended)
Setup
```bash
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