How to Use the Medium MCP in Google ADK

Q: Can Google ADK agents manage drafts on Medium?

They can. Use the createdraft tool to stage your content before you decide to publish it through your agent.

Connect your Google ADK agents to your Medium account to manage posts and publications with native tool support.

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Connect Medium MCP to Google ADK

Create your Vinkius account to connect Medium 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 with Google ADK

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Publish content directly from Google ADK

Your agent uses `create_post` to push finished articles to your account. It handles the API handshake so you can focus on your agent's reasoning. Use `create_public_post` for immediate distribution of your latest findings. Your agent manages the entire lifecycle from draft to public release.

Lookup publication data with Google ADK

Run `list_my_publications` to have your agent scan your active publications. It finds the right destination for your content without manual lookup. Call `list_contributors` to verify team access levels. Your agent checks these details to ensure it has the authority to post before it initiates any write operations.

Handle user identity in Google ADK agents

Use `get_authenticated_user` to confirm your agent is pointing at the right account. It returns your profile data so your agent works with the correct user context. Call `get_my_user_id` to grab your unique ID for granular API requests. This ensures every action your agent takes stays within your account boundaries.

Setup guide

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

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Common questions about Medium MCP in Google ADK

You wrap the server in a toolset and pass it to your agent. From there, the agent discovers all Medium publishing tools automatically.

They can. Use the `create_draft` tool to stage your content before you decide to publish it through your agent.

The connection is strictly isolated. Your agent only performs the actions you explicitly allow via the toolset definition.

It does. All ten tools are available for your agent to call once you initialize the connection.

It accesses your Medium post titles, body content, and publication metadata. The server is restricted to reading and writing only the specific records you authorize.

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