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Data Intelligence MCP Server

IBM Data Intelligence services integrate into MCP clients for modular data workflows.

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33 3 dangerous tools47 tools★ 19PythonApache-2.0

Overview

The Data Intelligence MCP Server provides a framework to link AI assistants with IBM Data Intelligence capabilities. It supports interaction through both STDIO and HTTP/HTTPS protocols, making it suitable for both local development and remote service deployment. The server architecture includes support for tool definitions and custom skill references, allowing users to extend functionality beyond standard requests. It is designed to work with various clients, including Claude Desktop, VS Code, and Watsonx Orchestrate, facilitating automation across IBM-integrated environments.

Our verdict

This server carries a high risk level with a security score of 40/100. Because the project is community-maintained rather than officially managed by IBM and has not yet undergone editorial review, users should exercise caution regarding its authentication and read-only implementation. It is recommended for development and evaluation purposes in isolated environments until security audits are performed.

Supports modular and scalable MCP integration patterns
Zero direct dependencies reduce potential supply-chain surface area
Utilizes Apache-2.0 open-source licensing
Provides documented tool and skill reference guides

Community-maintained status lacks direct vendor oversight
Authentication methods have not yet been reviewed
Read-only mode verification is currently pending

Tools

Tool	Description	Risk
get_semantic_model	Retrieves the semantic model for Text to SQL Service.	low
generate_sql_query	Generates a SQL query using the Text to SQL Service.	low
enable_container_for_text_to_sql	Enables a container for Text to SQL operations.	medium
check_if_onboarding_job_is_completed	Checks the completion status of a Text to SQL onboarding job.	low
generate_reporting_sql_query	Generates a SQL query for reporting purposes.	low
dynamic_query_search	Performs a dynamic search query.	low
create_glossary_from_files	Creates a glossary based on provided files.	medium
copy_connection	Creates a new connection in any catalog or project by copying an existing connection from any catalog.	medium
create_or_update_url_data_product	Creates a URL data product draft with specified name and URL details or updates an existing draft with a URL asset.	medium
create_update_data_product_from_asset_in_container	Creates a data product draft from catalog or project assets or updates an existing draft with catalog or project assets.	medium

Compatibility

Client	Local	Docker	Remote	Read-only
Claude Desktop
Cursor
VS Code
Windsurf
ChatGPT

Frequently asked questions

›What are the core software prerequisites to run this MCP server?

You must have Python 3.11 or higher installed, along with access to either IBM Data Intelligence SaaS or CPD 5.2.1.

›How do I install the server if I prefer using uv?

You can use uvx to run the server directly without a manual install, using the command 'uvx ibm-watsonx-data-intelligence-mcp-server --transport stdio' for stdio mode or 'uvx ibm-watsonx-data-intelligence-mcp-server' for http mode.

›Do I need to start the server manually when using stdio mode?

No, when using stdio mode with clients like Claude Desktop or VS Code Copilot, the client invokes the server directly, so no separate server process is required.

›How can I access the supported tools and skills for this server?

You can reference the TOOLS_PROMPTS.md file for a list of supported tools and sample prompts, and the SKILLS_REFERENCE.md file for instructions on managing and using server skills.

›What should I do if my MCP client does not support prompt template registration?

You can use the manual prompt templates provided in the PROMPTS_TEMPLATE_SAMPLES directory located within the repository.

›How do I set up the skills folder for local access?

After installation, you can run the 'wxdi-setup-skills' command, which is an interactive script that copies the skills folder to a location of your choice.