DataHub MCP Server
@noreuzis
About DataHub MCP Server
DataHub MCP Server implementation with FastMCP 2.6.0
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-datahub": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tools
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Overview
What is DataHub MCP Server?
A Model Context Protocol server implementation that exposes DataHub API endpoints as tools for MCP clients. Built with FastMCP 2.6.0, it provides secure, configurable access to DataHub data services including person, company, vehicle, process, and market data lookups. Designed for developers integrating DataHub data into MCP-compatible applications.
How to use DataHub MCP Server?
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.
Key features of DataHub MCP Server
- 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
Use cases of DataHub MCP Server
- Retrieve person information by CPF, email, name, phone, or LinkedIn URL
- Look up company data by CNPJ or validate company information
- Get vehicle details by license plate, including FIPE valuation
- Query legal process information by process number
- Validate CPF and phone number combinations via Infobip
FAQ from DataHub MCP Server
What DataHub API endpoints are exposed?
The server exposes tools for person data (get_person_by_cpf, validate_person, etc.), company data (get_company_by_cnpj, validate_company), vehicle data (get_vehicle_webhook_plate, get_vehicle_fipe_plate), process data (get_process_by_number), Infobip services (validate_cpf_phonenumber), and market data (get_market_cep).
What are the runtime requirements?
Python 3.8 or higher and a virtual environment are recommended. The package depends on FastMCP 2.6.0 and other standard libraries.
How is authentication handled?
Optional bearer token authentication is available using the --auth flag. When enabled, the server generates an access token (default 1-hour expiration) and displays it at startup. CORS origins can be restricted in configuration.
What transport modes are available?
The server supports both stdio and SSE (Server-Sent Events) transports. SSE is the default and can be configured with a host and port. stdio is used for direct integration with clients that support it.
How can I discover available tools while the server is running?
Use the included tools_discovery.py script (e.g., python tools_discovery.py --url http://127.0.0.1:8000) to list all tools and save them to tool_info.json.
Frequently asked questions
What DataHub API endpoints are exposed?
The server exposes tools for person data (get_person_by_cpf, validate_person, etc.), company data (get_company_by_cnpj, validate_company), vehicle data (get_vehicle_webhook_plate, get_vehicle_fipe_plate), process data (get_process_by_number), Infobip services (validate_cpf_phonenumber), and market data (get_market_cep).
What are the runtime requirements?
Python 3.8 or higher and a virtual environment are recommended. The package depends on FastMCP 2.6.0 and other standard libraries.
How is authentication handled?
Optional bearer token authentication is available using the `--auth` flag. When enabled, the server generates an access token (default 1-hour expiration) and displays it at startup. CORS origins can be restricted in configuration.
What transport modes are available?
The server supports both stdio and SSE (Server-Sent Events) transports. SSE is the default and can be configured with a host and port. stdio is used for direct integration with clients that support it.
How can I discover available tools while the server is running?
Use the included `tools_discovery.py` script (e.g., `python tools_discovery.py --url http://127.0.0.1:8000`) to list all tools and save them to `tool_info.json`.
Basic information
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