How to Use the BlogIn MCP in Google ADK

Q: How do I configure BlogIn tools with the Google ADK?

Install the library using pip install google-adk first. Initialize the MCP toolset using StreamableHttpServerParameters pointing to your Vinkius URL. Pass that toolset to your LlmAgent to expose the tools.

Q: How do I retrieve recent comments on a post?

Your agent invokes listrecentcomments when it needs to inspect feedback. The ADK parses the response and feeds the text directly into the model's active context.

Feed your Gemini enterprise agents live company knowledge from BlogIn using the Google ADK MCP Server.

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Connect BlogIn MCP to Google ADK

Create your Vinkius account to connect BlogIn 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 BlogIn with Google ADK

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Incorporate internal wiki pages into Gemini context

This BlogIn MCP Server exposes your internal company knowledge base to Gemini's million-token context window. Your agent calls `list_internal_pages` to scan all available resources. It reads specific articles using `get_post_details` when users ask complex internal questions. Google ADK handles the HTTP transport under the hood without extra boilerplate.

Cross-reference BigQuery data with company posts

The `list_posts` tool retrieves corporate updates so your enterprise agent can compare them against database trends. This links your SQL data directly to internal announcements. Your system uses `list_categories` to group these posts by department. You get a clean, structured overview of company communications mapped to your cloud metrics.

Audit team directories using Google ADK

The `list_team_members` tool fetches your current organizational directory for the agent to analyze. This ensures your system always knows which employees are active. It matches authors with their written contributions via `list_posts`. You can run this audit inside Vertex AI pipelines to keep your permissions up to date.

Setup guide

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

Install the library using `pip install google-adk` first. Initialize the MCP toolset using `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass that toolset to your `LlmAgent` to expose the tools.

Yes, you can use the optional tool names filter in the toolset configuration. This lets you expose `list_posts` while hiding write operations like `create_internal_post`.

It supports both Stdio and HTTP transport mechanisms. For this managed setup, you will use the HTTP streamable parameters to connect to the cloud sandbox.

Your agent invokes `list_recent_comments` when it needs to inspect feedback. The ADK parses the response and feeds the text directly into the model's active context.

Vinkius executes all tool calls inside ephemeral V8 isolates that disappear instantly. Your internal posts, wiki pages, and team lists are never stored or used for model training. The connection uses single-token authorization to block unauthorized access.

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