Metatext 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 Metatext as an MCP tool provider through 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="metatext_agent",
instruction=(
"You help users interact with Metatext "
"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 Metatext MCP Server
Connect your Metatext account to any AI agent and take full control of your NLP models and data pipelines through natural conversation.
Google ADK natively supports Metatext as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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 Orchestration — List all trained NLP models and fetch detailed metadata and training statuses
- Real-time Inference — Programmatically run predictions, classifications, and extractions using your deployed models
- Dataset Management — Enumerate datasets and create new records for model training or evaluation
- Deployment Monitoring — List active model deployments and retrieve account usage information
- Search & Discovery — Search for specific NLP models by name to quickly access their capabilities
The Metatext MCP Server exposes 10 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 Metatext to Google ADK via MCP
Follow these steps to integrate the Metatext 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 Metatext via MCP
Why Use Google ADK with the Metatext MCP Server
Google ADK provides unique advantages when paired with Metatext 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 Metatext
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 Metatext tools with BigQuery, Vertex AI, and Cloud Functions
Metatext + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Metatext MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Metatext and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Metatext tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Metatext regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Metatext
Metatext MCP Tools for Google ADK (10)
These 10 tools become available when you connect Metatext to Google ADK via MCP:
create_dataset_record
Create a new record in a dataset
get_account_info
Get account information
get_dataset_details
Get details for a specific dataset
get_model_details
Get details for a specific model
list_dataset_records
List records in a dataset
list_model_deployments
List active model deployments
list_nlp_datasets
List all datasets
list_nlp_models
List all trained NLP models
run_model_inference
Run prediction on a model
search_nlp_models
Search models by name
Example Prompts for Metatext in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Metatext immediately.
"List all my trained NLP models in Metatext."
"Analyze this text with model ID 'mod_123': 'I love this product!'"
"Add a new record to dataset 'ds_987' with text 'Refund requested' and label 'Support'."
Troubleshooting Metatext MCP Server with Google ADK
Common issues when connecting Metatext to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMetatext + Google ADK FAQ
Common questions about integrating Metatext 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 Metatext 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 Metatext to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.