Together AI MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Together AI 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="together_ai_agent",
instruction=(
"You help users interact with Together AI "
"using 7 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 Together AI MCP Server
Connect your Together AI account to any AI agent and integrate bleeding-edge open-source models seamlessly into your workflow. Harness world-class inference speeds to query Llama, Mixtral, and more, or orchestrate specialized model fine-tuning jobs straight from your chat environment.
Google ADK natively supports Together AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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 — Explore and list all currently supported models on the Together network, identifying the best engine for any NLP or vision task
- Conversational AI — Run chat completion cycles on advanced models simply by supplying a model ID directly from the chat prompt
- Vector Storage Preparation — Generate instant rich embeddings for input texts, ready to populate your analytical databases
- Creative Media — Instruct external diffusion models to generate images using detailed physical descriptions
- Custom Fine-Tuning — Provision custom training runs by indicating a base framework and dataset file, alongside tracking existing job statuses
The Together AI MCP Server exposes 7 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 Together AI to Google ADK via MCP
Follow these steps to integrate the Together AI 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 7 tools from Together AI via MCP
Why Use Google ADK with the Together AI MCP Server
Google ADK provides unique advantages when paired with Together AI 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 Together AI
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 Together AI tools with BigQuery, Vertex AI, and Cloud Functions
Together AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Together AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Together AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Together AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Together AI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Together AI
Together AI MCP Tools for Google ADK (7)
These 7 tools become available when you connect Together AI to Google ADK via MCP:
chat_completion
Provide a model ID and a JSON array of messages. Executes a chat completion using Together AI models
create_finetune_job
Provide a base model ID and a training file ID. Creates a new fine-tuning job
generate_embeddings
Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts
generate_image
Provide a model ID and descriptive prompt. Generates an image from a text prompt
list_available_models
Lists all AI models available on Together AI
list_finetune_jobs
Lists all fine-tuning jobs
text_completion
Provide a model ID and a prompt. Executes a base text completion
Example Prompts for Together AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Together AI immediately.
"List all the models currently available on Together AI."
"Generate an embedding array using model `togethercomputer/m2-bert-80M-8k-retrieval` for the sentence 'The cat sat on the mat'."
Troubleshooting Together AI MCP Server with Google ADK
Common issues when connecting Together AI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTogether AI + Google ADK FAQ
Common questions about integrating Together AI 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 Together AI 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 Together AI to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.