IBM watsonx MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add IBM watsonx as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="ibm_watsonx_agent",
instruction=(
"You help users interact with IBM watsonx "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About IBM watsonx MCP Server
Connect IBM watsonx to any AI agent via MCP.
How to Connect IBM watsonx to Google ADK via MCP
Follow these steps to integrate the IBM watsonx MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from IBM watsonx via MCP
Why Use Google ADK with the IBM watsonx MCP Server
Google ADK provides unique advantages when paired with IBM watsonx through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with IBM watsonx
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine IBM watsonx tools with BigQuery, Vertex AI, and Cloud Functions
IBM watsonx + Google ADK Use Cases
Practical scenarios where Google ADK combined with the IBM watsonx MCP Server delivers measurable value.
Enterprise data agents: ADK agents query IBM watsonx and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine IBM watsonx tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query IBM watsonx regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including IBM watsonx
IBM watsonx MCP Tools for Google ADK (10)
These 10 tools become available when you connect IBM watsonx to Google ADK via MCP:
create_prompt
Create a new prompt in watsonx
generate_chat
Use this for multi-turn conversational AI applications. Generate chat completions using a watsonx chat model
generate_embeddings
Useful for similarity search, clustering, and semantic analysis. Generate vector embeddings for input texts
generate_text
Use this for single-turn text generation tasks like content creation, summarization, or analysis. Generate text using a watsonx foundation model
get_model_details
Get detailed specifications for a specific foundation model
get_tuning_status
Get the status of a prompt tuning job
list_models
ai, including model IDs, families, capabilities, and lifecycle states. List available foundation models in watsonx
list_projects
List watsonx projects in your account
list_prompts
List saved prompts in the watsonx project
start_model_tuning
Requires a URL pointing to the training data in cloud storage. Start a prompt tuning job for a foundation model
Troubleshooting IBM watsonx MCP Server with Google ADK
Common issues when connecting IBM watsonx to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkIBM watsonx + Google ADK FAQ
Common questions about integrating IBM watsonx MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect IBM watsonx with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBM watsonx to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.