ibm-watsonxdata-dl-retrieval-mcp-server
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The Watsonx.data Document Library Retrieval MCP Server is a service that connects AI agents with document libraries in watsonx.data, facilitating intelligent data retrieval and interaction.
Watsonx.data Document Library Retrieval MCP Server
The Watsonx.data Document Library Retrieval MCP Server is a Model Context Protocol (MCP)-compliant service that seamlessly connects AI agents with document libraries in watsonx.data, enabling intelligent data retrieval and interaction.
Key Features
-
Dynamic Discovery & Registration
Automatically detects and registers document libraries as MCP tools. -
Natural Language Interface
Query document libraries using conversational language and receive human-readable responses. -
Minimal Configuration
Deploy with simple setup requirements and zero complex configurations. -
Framework-Agnostic Integration
Plug directly into the preferred agentic frameworks with native MCP compatibility.
Overview
- Protocol: Model Context Protocol (MCP)
- Purpose: Acts as a bridge between agentic AI frameworks and watsonx.data document libraries
- Supported Environments: IBM Cloud Pak for Data (CPD), Watsonx SaaS
- Agent Compatibility: The agentic framework must support the MCP standard (via SSE or Stdio).
Note: This server will not function with agents that do not support MCP.
Prerequisites
- Python version 3.11 or later
- Access to your CPD or SaaS environment
- Access credentials and a CA certificate bundle for CPD
- Ensure your agent framework supports MCP protocol
Getting CA Bundle for CPD
-
Login to your OpenShift cluster:
oc login -u kubeadmin -p '<your_openshift_password>' https://<your_openshift_cpd_url>:6443
-
Extract the root CA bundle:
oc get configmap kube-root-ca.crt -o jsonpath='{.data.ca\.crt}' > cabundle.crt
NOTE: Please use open shift login command. The user and password will be open shift portal login username and password
Setup
Step 1: Install Python
- Official Installer: https://www.python.org/downloads/
Step 2: Create a virtual environment
python -m venv .venv
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
uv
package: https://pypi.org/project/uv/
Configuration
For Cloud Pak for Data (CPD):
export CPD_ENDPOINT="<cpd-endpoint>"
export CPD_USERNAME="<cpd-username>"
export CPD_PASSWORD="<cpd-password>"
export CA_BUNDLE_PATH="<absolute_path_to_cabundle.crt>"
export LH_CONTEXT="CPD"
NOTE:
- For CPD_ENDPOINT use endpoint url for installed CPD. Example: "https://cpd-cpd-instance.apps.perf10.5y2z.openshiftapps.com"
- For CPD_USERNAME and CPD_PASSWORD use the username and password used to login to CPD.
For Watsonx SaaS:
export WATSONX_DATA_API_KEY="<api-key>"
export WATSONX_DATA_RETRIEVAL_ENDPOINT="<retrieval-service-endpoint>"
export DOCUMENT_LIBRARY_API_ENDPOINT="<document-library-endpoint>"
export WATSONX_DATA_TOKEN_GENERATION_ENDPOINT="<token-generation-endpoint>"
export LH_CONTEXT="SAAS"
NOTE:
- For DOCUMENT_LIBRARY_API_ENDPOINT please use the endpoint url corresponding to region from here: https://cloud.ibm.com/apidocs/data-ai-common-core#endpoint-url. Example: https://api.ca-tor.dai.cloud.ibm.com
- For WATSONX_DATA_RETRIEVAL_ENDPOINT please use the watsonx.data endpoint. Example : https://console-ibm-cator.lakehouse.saas.ibm.com
- For WATSONX_DATA_TOKEN_GENERATION_ENDPOINT please use the endpoint url from here: https://cloud.ibm.com/apidocs/iam-identity-token-api#endpoints . Example: https://iam.cloud.ibm.com
Running the Server
uv run ibm-watsonxdata-dl-retrieval-mcp-server
By default, the server runs in sse
transport mode on port 8000.
Transport: SSE
uv run ibm-watsonxdata-dl-retrieval-mcp-server --port <desired_port> --transport sse
Transport: stdio
uv run ibm-watsonxdata-dl-retrieval-mcp-server --port <desired_port> --transport stdio
Integrating with WXO
Prerequisite:
- Install WXO ADK and complete the initial setup. Refer documentation for more details: https://developer.watson-orchestrate.ibm.com
- Install mcp-proxy
pip install mcp-proxy
- Run ibm-watsonxdata-dl-retrieval-mcp-server in sse transport.
Once prerequisites are met, the tools can be added as toolkit in WXO. Refer documentation for more details: https://developer.watson-orchestrate.ibm.com/tools/toolkits
Example :
orchestrate toolkits import \
--kind mcp \
--name mcp_toolkit \
--description "MCP server (hosted, SSE)" \
--package "mcp-proxy" \
--language python \
--command "uvx mcp-proxy https://<mcp server endpoint>/sse" \
--tools "*"
NOTE:
When running wxo in SAAS and MCP server locally, expose the mcp server endpoint if required.
Integrating with other Agentic Frameworks
For more examples on using Watsonx.data Document Library Retrieval MCP Server with agentic framework refer examples
session here: https://github.com/IBM/ibm-watsonxdata-dl-retrieval-mcp-server
Limitations
- Environment credentials cannot be changed during runtime.
- To change credentials, either:
- Start a new server with new env variables, OR
- Source new environment variables and restart the server.
- To change credentials, either:
Tool Naming
Each document library is registered with a unique tool name:
tool_name = <library_name><library_id>
Example:
invoice_document_library77e4b4dd_479e_4406_acc4_ce154c96266c