How to Use the Medium Alternative MCP in Google ADK

Q: How do I restrict tool access in the Medium Alternative MCP Server for Google ADK?

You can use the toolnames filter within your McpToolset configuration. This restricts the agent to only using specific tools like createpost while ignoring the rest.

Integrate your Medium Alternative MCP Server into Google ADK to scale content operations across your enterprise stack.

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Connect Medium Alternative MCP to Google ADK

Create your Vinkius account to connect Medium 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 Medium Alternative with Google ADK

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Direct publishing tools for Google ADK

Connect your Gemini-powered agents to your Medium account using `create_post`. Your agent can now take data from BigQuery or other cloud sources and turn it into a live story. It handles the execution steps automatically. You define the logic, and the agent uses the tool to hit the API endpoints without manual intervention.

Publication and contributor lookup

Use `list_publications` to query your available writing spaces directly from your agent framework. It maps out your editorial footprint in seconds. Once you have the publication ID, `list_contributors` lets your agent verify the team list. It ensures your automated publishing scripts only interact with authorized accounts.

Sync profile state with Google ADK

The `get_me` tool fetches your current user identity. Your agent uses this to confirm it has the correct permissions before running any publishing tasks. It keeps your agent informed of the current user context. You get a reliable way to verify your identity before the agent starts its work.

Setup guide

Set up Medium 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 Medium 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="Medium Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Medium Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Medium Alternative MCP in Google ADK

Absolutely. You can pipe the data from these tools directly into your Gemini context window. This allows your agent to reason about your publications before deciding where to post.

You can use the tool_names filter within your McpToolset configuration. This restricts the agent to only using specific tools like `create_post` while ignoring the rest.

Yes, it supports both stdio and HTTP transports. You can configure the server to run alongside your agent, keeping the infrastructure lightweight and fast.

You pass your integration token as an environment variable to the server process. The ADK handles the connection, and the server includes your credentials in the headers of each API call.

The server operates in an ephemeral sandbox, meaning it doesn't persist your story content or user profile details. Every request is isolated, ensuring your intellectual property remains under your control.

Use it with your favorite AI tools

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