How to Use the Together AI Alternative MCP in Google ADK

Q: Can I use Together AI Alternative for advanced chat completions with the Google ADK?

Yes. You can run high-performance chats using createchatcompletion. The agent accesses over 100 open-source models, giving you flexibility far beyond a single proprietary model.

Q: Does the MCP Server support creating predictable API endpoints with Together AI Alternative and the Google ADK?

It does. The agent uses createendpoint to set up a dedicated connection, guaranteeing stable performance for your critical services. You can monitor this using listendpoints.

Q: Can I retrieve model information with Together AI Alternative and the Google ADK?

You bet. The agent exposes listmodels, allowing you to see all available models on Together AI, so you know exactly which options are ready for deployment.

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Connect Together AI Alternative MCP to Google ADK

Create your Vinkius account to connect Together AI Alternative to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Together AI Alternative with Google ADK

Ask AI about this MCP

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Claude

Perplexity

Generate multi-modal content and assets.

Your agent can generate images or videos from text prompts using tools like `create_image_generation` and `create_video_generation`. This capability lets the agent produce rich, media-based output when prompted. It also handles audio processing. You get text-to-speech generation with `create_audio_speech`, alongside accurate speech-to-text transcription through `create_audio_transcription`.

Manage data retrieval and document relevance.

When your agent needs to find information, it doesn't just search; it ranks. You use `create_rerank` to reorder documents based on how relevant they are to the user’s query. This ensures the agent gets the best possible answer. Furthermore, you can retrieve basic data summaries or check file details using `get_file`, and see a list of all stored assets via `list_files`.

Execute high-throughput batch jobs.

For large volumes of tasks—like processing thousands of documents for analysis—the agent starts an asynchronous job with `create_batch`. This prevents the core interaction thread from freezing up. It maintains visibility over all queued work. You can view every pending task using `list_batches`, and check specific results by calling `get_batch` when needed.

Setup guide

Set up Together AI Alternative MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Together AI Alternative tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Together AI Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Together AI Alternative tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Together AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Together AI Alternative MCP in Google ADK

This MCP Server touches file metadata, raw text content, and audio files. Since you are integrating this into enterprise systems, always ensure your data handling protocols meet internal compliance standards.

Yes. You can run high-performance chats using `create_chat_completion`. The agent accesses over 100 open-source models, giving you flexibility far beyond a single proprietary model.

The process is managed by dedicated tools. The agent handles `upload_file` first, then starts the job using `create_fine_tune`, allowing you to tailor models for very specific enterprise tasks.

It does. The agent uses `create_endpoint` to set up a dedicated connection, guaranteeing stable performance for your critical services. You can monitor this using `list_endpoints`.

You bet. The agent exposes `list_models`, allowing you to see all available models on Together AI, so you know exactly which options are ready for deployment.

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