How to Use the DevDocs MCP in Google ADK

Q: Can I restrict which DevDocs tools my Google ADK agent can use?

Absolutely. Use the toolnames filter in your McpToolset configuration to explicitly whitelist only the functions you want your agent to execute.

Query technical documentation directly from the Google ADK environment with this MCP Server.

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Connect DevDocs MCP to Google ADK

Create your Vinkius account to connect DevDocs 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 DevDocs with Google ADK

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Explore Libraries via Google ADK

The `list_libraries` tool exposes every supported framework index to your Gemini-powered agent. It provides a structured list of available documentation targets. Your agent can now programmatically verify if a specific SDK is covered. It eliminates the need for manual library lookups.

Targeted API Documentation Search

Execute `search_docs` to query the documentation index for specific API methods. It returns the exact path needed to fetch deep technical specs. This integration allows your Google ADK agent to find relevant documentation without hitting a search engine. It keeps the research phase contained within your infrastructure.

Direct Markdown Feed

Use `read_page` to pull formatted Markdown into your agent's large context window. It handles the extraction so you don't have to parse raw HTML. Your agent gets the source material it needs to write accurate implementation code. It is built to support the high-token requirements of modern Gemini models.

Setup guide

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

You wrap the server in an McpToolset and pass it to your LlmAgent. The agent then invokes `search_docs` during its reasoning process to find relevant API pages.

Yes. The MCP protocol is transport-agnostic, meaning your Google ADK agent connects to the server endpoint regardless of where your code is running.

Absolutely. Use the tool_names filter in your McpToolset configuration to explicitly whitelist only the functions you want your agent to execute.

The server fetches data directly from the DevDocs.io API. You get the latest available documentation whenever your agent calls the tool.

No. The server only receives requests for public documentation pages. It does not store or transmit any of your project-specific data or search history.

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