How to Use the Chaindesk MCP in Google ADK

Q: How do I register the Chaindesk server inside a Google ADK agent?

Instantiate McpToolset using your Vinkius HTTP endpoint. Pass that toolset object directly into the tools list of your LlmAgent configuration.

Q: Can I restrict which Chaindesk tools my Google ADK agent can access?

Yes, use the toolnames parameter to whitelist specific actions. This prevents the agent from seeing or running administrative tools.

Q: How do I pull conversational history into my Google Cloud monitoring tools?

Run listconversations to fetch active threads. You can then route those raw logs into Vertex AI for automated evaluation.

Feed million-token Gemini models with custom business data using Google ADK and this managed MCP Server.

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Connect Chaindesk MCP to Google ADK

Create your Vinkius account to connect Chaindesk 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 Chaindesk with Google ADK

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Feed Google ADK with Chaindesk MCP Server data

This MCP Server lets your Google Cloud pipelines pull deep context directly into your active reasoning loops. Gemini models perform better when they have access to your raw documents. Your agent runs `list_datastores` to find the correct knowledge base. From there, it executes `get_datastore` to dump massive text blocks straight into Gemini's context window.

Sync Google Cloud databases with your knowledge base

This MCP Server acts as an automated sync channel between your enterprise databases and your customer-facing bots. You can push updates from BigQuery directly to your agents. When your database detects a change, your code runs `upsert_datasource` to refresh the document index. This keeps your Gemini models aligned with your actual production data.

Limit exposed tools for enterprise safety

This MCP Server allows you to apply strict execution filters inside your Google Cloud environment. You don't have to expose administrative tools to public-facing agents. Configure `tool_names` to only allow safe operations like `query_agent`. This keeps destructive tools like `delete_agent` safely locked away behind your backend.

Setup guide

Set up Chaindesk 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 Chaindesk 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="Chaindesk_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chaindesk 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 Chaindesk. 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 Chaindesk MCP in Google ADK

Instantiate `McpToolset` using your Vinkius HTTP endpoint. Pass that toolset object directly into the tools list of your `LlmAgent` configuration.

Yes, use the `tool_names` parameter to whitelist specific actions. This prevents the agent from seeing or running administrative tools.

It supports both. For managed Vinkius setups, you will use the HTTP transport by passing your endpoint URL.

Run `list_conversations` to fetch active threads. You can then route those raw logs into Vertex AI for automated evaluation.

All payloads run through zero-trust V8 isolates. Your files are parsed in memory during tool execution and never persist on Vinkius infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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