TrueFoundry MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add TrueFoundry 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="truefoundry_agent",
instruction=(
"You help users interact with TrueFoundry "
"using 8 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 TrueFoundry MCP Server
What you can do
Connect AI agents to TrueFoundry's dual-architecture matrix encompassing both an AI Gateway and a Deployment Orchestrator:
Google ADK natively supports TrueFoundry as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- Route LLM prompts securely utilizing a unified endpoint connecting to OpenAI, Anthropic, Gemini, Llama, and more
- Manage LLM Embeddings mapping strings flawlessly through secure unified channels
- Discover Gateway Models identifying exact runtime limitations and contexts
- Orchestrate MCP Containers deploying new AI server topology straight onto infrastructure limits
- Monitor Active Deployments generating status, usage array metrics, and isolation limits natively
- List MCP Schemas utilizing the managed TrueFoundry MCP discovery engine array
- Execute Chat streams dynamically routing user contexts purely bound without touching distinct API keys
The TrueFoundry MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TrueFoundry to Google ADK via MCP
Follow these steps to integrate the TrueFoundry 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 8 tools from TrueFoundry via MCP
Why Use Google ADK with the TrueFoundry MCP Server
Google ADK provides unique advantages when paired with TrueFoundry 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 TrueFoundry
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 TrueFoundry tools with BigQuery, Vertex AI, and Cloud Functions
TrueFoundry + Google ADK Use Cases
Practical scenarios where Google ADK combined with the TrueFoundry MCP Server delivers measurable value.
Enterprise data agents: ADK agents query TrueFoundry and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine TrueFoundry tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query TrueFoundry regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including TrueFoundry
TrueFoundry MCP Tools for Google ADK (8)
These 8 tools become available when you connect TrueFoundry to Google ADK via MCP:
truefoundry_deploy_mcp_server
Spawn a new backend container logical process using TrueFoundry service mesh
truefoundry_generate_embeddings
Calculate semantic vectors securely using the unifed abstraction
truefoundry_get_deployment_status
Emit detailed metric states on the orchestration matrix bounds
truefoundry_get_mcp_server_info
Extract exact JSON metadata of one registered TrueFoundry tool schema
truefoundry_list_deployments
Monitor the existing array of running backend topologies mapped to the team
truefoundry_list_gateway_models
List all accessible foundation models from the TrueFoundry unified AI gateway
truefoundry_list_mcp_servers
Extract registry mapping of all available logical MCP Tools in TrueFoundry
truefoundry_run_gateway_chat
g., openai/gpt-4o) mapping the true chat parameter to the gateway. Perform inference explicitly pushing a model query string through TrueFoundry
Example Prompts for TrueFoundry in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with TrueFoundry immediately.
"List all active AI models supported natively inside my TrueFoundry gateway access instance."
"Trigger a chat payload pushing to 'openai-gpt4o' via TrueFoundry querying semantic structures bounding limits."
"Deploy the 'supabase-mcp' node-image natively mapping strict variables onto my cluster runtime boundaries."
Troubleshooting TrueFoundry MCP Server with Google ADK
Common issues when connecting TrueFoundry to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTrueFoundry + Google ADK FAQ
Common questions about integrating TrueFoundry 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 TrueFoundry with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TrueFoundry to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.