MCP Server implementation for IBM Data Intelligence
Project description
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
Release history Release notifications | RSS feed
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