About Ibm Watsonx Gov Catalog MCP Server
Ibm Watsonx Gov Catalog MCP Server is an MCP server published by IBM in the AI category: the ibm-watsonx-gov-catalog-mcp-server is a Model Context Protocol (MCP)-compliant server that seamlessly connects AI agents with tools hosted on [watsonx governed agentic catalog](https://www.ibm.com/docs/en/watsonx/saas?topic=ai-governed-agentic-catalog). It has been installed 0 times through Conduid.
Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx ibm-watsonx-gov-catalog-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
ibm-watsonx-gov-catalog-mcp-server
The ibm-watsonx-gov-catalog-mcp-server is a Model Context Protocol (MCP)-compliant server that seamlessly connects AI agents with tools hosted on watsonx governed agentic catalog.
Overview
- Protocol: Model Context Protocol (MCP)
- Purpose: Acts as a bridge between agentic AI frameworks and tools on governance catalog
- Supported Environments: Watsonx SaaS (Envs Supported : Sydney , Toronto)
- Agent Compatibility: The agentic framework must support the MCP standard (via Stdio).
Note: This server will not function with agents that do not support MCP.
Prerequisites
- Python version 3.11 or later
- Access to your SaaS environment
- Ensure your Agent framework supports MCP protocol
Setup
Step 1: Install Python
- Official Installer: https://www.python.org/downloads/
Step 2: Create a virtual environment
python -m venv .venv
Running the Server
uv run ibm-watsonx-gov-catalog-mcp-server
Step 3: Activate the virtual environment
source .venv/bin/activate # macOS/Linux
.venv\Scripts\activate # Windows
Step 4: Install the uv package manager
pip install uv
uvpackage: https://pypi.org/project/uv/
Build the wheel file
uv pip install build
uv run python -m build
Build and Run the server
uv run ibm-watsonx-gov-catalog-mcp-server
Testing using MCP Inspector
Set the following environment variables
For Watsonx SaaS
If you have not already, provision an instance of IBM WatsonX Governance instance using the link in the Cloud catalog .
export WATSONX_APIKEY=<API KEY>
export WATSONX_REGION=<WATSONX_REGION>
NOTE:
-
For WATSONX_APIKEY: This is required for IBM watsonx.governance capabilities. Your Cloud API key can be generated by going to the Users section of the Cloud console. From that page, click your name, scroll down to the API Keys section, and click Create an IBM Cloud API key. Give your key a name and click Create, then copy the created key and paste it below.
-
For WATSONX_REGION: Set if you are using IBM watsonx.governance as a service in a regional data center other than default Dallas (us-south), in Texas US. Supported region values are "us-south", "eu-de", "au-syd", "ca-tor", "jp-tok".
Invoke MCP inspector
npx @modelcontextprotocol/inspector uv run ibm-watsonx-gov-catalog-mcp-server -e WATSONX_APIKEY=<WASONX_APIKEY> -e WATSONX_REGION=<WATSONX_REGION>
Limitations
- Environment credentials cannot be changed during runtime.
- To change credentials, either:
- Start a new server with new env variables
- To change credentials, either:
- Transport types supported :
stdio - Tool call is supported : OOTB tools , Tools created using custom code.
README mirrored from the source repository 4 months ago. The original is authoritative.