How do I get a Medium Integration Token?

Go to Medium Settings > Security and apps > Integration tokens to generate your token.

Can I publish in Markdown?

Yes! The `create_post` and `create_draft` tools support Markdown format natively.

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Medium MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Medium
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Medium as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="medium_agent",
    instruction=(
        "You help users interact with Medium "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Medium MCP Server

Connect your Medium account to any AI agent and automate your publishing workflow through natural conversation.

Google ADK natively supports Medium as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Post Creation — Quickly publish public articles or save drafts directly to your Medium account
Publication Management — List publications you belong to and publish content directly under their brand
Profile Inspection — Retrieve your unique User ID and profile details for seamless integration
Contributor Lists — View authorized contributors for publications you manage

The Medium MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Medium to Google ADK via MCP

Follow these steps to integrate the Medium MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Medium via MCP

Why Use Google ADK with the Medium MCP Server

Google ADK provides unique advantages when paired with Medium through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Medium

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Medium tools with BigQuery, Vertex AI, and Cloud Functions

Medium + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Medium MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Medium and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Medium tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Medium regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Medium

Medium MCP Tools for Google ADK (10)

These 10 tools become available when you connect Medium to Google ADK via MCP:

create_draft

Create a new draft

create_post

Create a new post for a user

create_public_post

Create a public post

create_publication_post

Create a post under a publication

get_authenticated_user

Get details for the authenticated user

get_my_profile

Get your own profile

get_my_user_id

Get your User ID

list_contributors

List contributors for a publication

list_my_publications

List your own publications

list_publications

List publications for a user

Example Prompts for Medium in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Medium immediately.

"Show my Medium profile and user ID."

"Create a draft titled 'My AI Journey' with content 'This is my first post...'"

"List my publications."

Troubleshooting Medium MCP Server with Google ADK

Common issues when connecting Medium to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Medium + Google ADK FAQ

Common questions about integrating Medium MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.