Data Intelligence MCP Server

The IBM Data Intelligence MCP Server provides a modular and scalable implementation of the Model Context Protocol (MCP), purpose-built to integrate with IBM Data Intelligence services. It enables secure and extensible interaction between MCP clients and IBM's data intelligence capabilities.

For the list of tools supported in this version and sample prompts, refer to Tools.

Resources:

• Integrating Claude + Data Intelligence A step-by-step guide showing how Claude Desktop connects to the Data Intelligence MCP Server.
• IBM Bob + Data Intelligence Blog post demonstrates how IBM Bob integrates with the MCP Server for automation.
• Watsonx Orchestrate + Data Intelligence Demonstrates how Watsonx Orchestrate integrates with the MCP Server for automation.

Quick Install

Prerequisites

• Python 3.11 or higher
• Data Intelligence SaaS or CPD 5.2.1

Installation

pip install ibm-watsonx-data-intelligence-mcp-server

Or with uv:

uvx ibm-watsonx-data-intelligence-mcp-server

Documentation

For complete documentation, including:

• Detailed setup instructions
• Client configuration guides
• Server modes (HTTP, HTTPS, stdio)
• Environment configuration
• SSL/TLS setup
• Available tools and sample prompts

Please visit the GitHub repository.

Basic Usage

Run in stdio mode (recommended for local setup)

uvx ibm-watsonx-data-intelligence-mcp-server --transport stdio

Run in HTTPS mode

ibm-watsonx-data-intelligence-mcp-server --transport http --ssl-cert ./server.crt --ssl-key ./server.key

Check SERVER_HTTPS.md for more information on setting up HTTPS.

Run in HTTP mode

ibm-watsonx-data-intelligence-mcp-server --transport http --host 0.0.0.0 --port 3000

For more configuration options and detailed instructions, please refer to the GitHub repository README.

CHANGELOG

Refer to CHANGELOG.md