Hugging Face MCP Server for Google ADKGive Google ADK instant access to 15 tools to Check Hf Status, Get Account, Get Dataset, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Hugging Face as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Hugging Face app connector for Google ADK is a standout in the Loved By Devs category — giving your AI agent 15 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="hugging_face_alternative_agent",
instruction=(
"You help users interact with Hugging Face "
"using 15 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 Hugging Face MCP Server
Connect your Hugging Face account to any AI agent and interact with the Hub through natural conversation.
Google ADK natively supports Hugging Face as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 15 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Model Discovery — Search models by keyword, author, or pipeline task
- Dataset Exploration — Browse and inspect dataset schemas and metadata
- Spaces — Search and view interactive ML demo applications
- Collections — List curated groups of models, datasets, and Spaces
- Inference — Run any hosted model: text generation, classification, summarization
- Account — View your profile, orgs, and token scopes
- Health Check — Verify API connectivity
The Hugging Face MCP Server exposes 15 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.
All 15 Hugging Face tools available for Google ADK
When Google ADK connects to Hugging Face through Vinkius, your AI agent gets direct access to every tool listed below — spanning machine-learning, model-discovery, datasets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get account info
Get dataset details
Get model details
Get Space details
List curated collections
Search datasets
Search models on Hugging Face Hub
List models by author
) sorted by downloads. List models by task
Search Spaces
Run model inference
Summarize text
Classify text
Generate text with a model
Connect Hugging Face to Google ADK via MCP
Follow these steps to wire Hugging Face into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Hugging Face MCP Server
Google ADK provides unique advantages when paired with Hugging Face 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 Hugging Face
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 Hugging Face tools with BigQuery, Vertex AI, and Cloud Functions
Hugging Face + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Hugging Face MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Hugging Face and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Hugging Face tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Hugging Face regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Hugging Face
Example Prompts for Hugging Face in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Hugging Face immediately.
"Find the top text generation models."
"Generate text with mistralai/Mistral-7B: 'Explain quantum computing in simple terms'."
"Search datasets about sentiment analysis."
Troubleshooting Hugging Face MCP Server with Google ADK
Common issues when connecting Hugging Face to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHugging Face + Google ADK FAQ
Common questions about integrating Hugging Face MCP Server with Google ADK.