Introduction
Enterprise AI workflows increasingly rely on agent frameworks and tool orchestration to connect foundation models with business data. IBM’s Watsonx Data Intelligence offers metadata-driven governance and compliance capabilities, while Claude brings advanced reasoning and conversation skills.
By integrating these with the Watsonx Data Intelligence MCP Server, you can allow Claude to directly access governance tools such as rule creation, search, and lineage queries — all in a secure, structured way.
Architecture Overview
Here’s the high-level flow:
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Claude MCP Client (Claude Desktop)– Runs locally, invoking MCP servers.
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Watsonx Data Intelligence MCP Server – Wraps Watsonx Data Intelligence APIs as structured tools.
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Watsonx Data Intelligence Services – Back-end services such as rule service, search service, lineage service.
Prerequisites
Before starting, make sure you have the following installed or configured:
Steps:
Configure IBM watsonx data intelligence mcp server with claude desktop.
- Open claude desktop app
- Go to settings -> Click on Developer -> Edit Config
Open the file claude_desktop_config.json in a text editor and and add a new entry under mcpServers
as shown below.
Please replace the corresponding api key, data intelligence service url and username. For SaaS env we don't require the username.
Below is the configuration for CPD onprem Data Intelligence:
Close the Claude Desktop app and reopen it. You should now see the MCP server listed under your Claude Desktop app. And make sure its enabled.
Now you can start asking questions related to data intelligence services: