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How to integrate Linkedin MCP with Google ADK

Connect Google ADK to Linkedin MCP. Share a new post about our product launch, delete your last published linkedin post, and more using natural language, with authentication handled for you.

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LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.

25 Tools

Introduction

This guide walks you through connecting Linkedin to Google ADK using the Composio tool router. By the end, you'll have a working Linkedin agent that can publish posts and articles, comment on posts, upload images and videos, check share statistics, and view company info through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Linkedin account through Composio's Linkedin MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Linkedin with

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TL;DR

Here's what you'll learn:
  • Get a Linkedin account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Linkedin
  • Build an agent that connects to Linkedin through MCP
  • Interact with Linkedin using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Linkedin MCP server, and what's possible with it?

The LinkedIn MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your LinkedIn account. It provides structured and secure access to profiles, posts, article and URL sharing, and image upload preparation, so your agent can verify your identity, retrieve member profiles, inspect post content, publish shares, and prepare images for feed posts on your behalf.

  • Connected account details: Have your agent confirm the name and email associated with your connected LinkedIn account.
  • Member profile retrieval: Direct your agent to retrieve available profile information for a specific LinkedIn member.
  • Post content review: Let the agent retrieve a LinkedIn post and review its text, images, videos, and related details.
  • Article and link sharing: Instruct your agent to publish an article or URL share to your LinkedIn feed.
  • Image upload preparation: Have your agent prepare an image for use in a native LinkedIn feed share.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Linkedin via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["linkedin"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Linkedin operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Linkedin and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["linkedin"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Linkedin operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Linkedin with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Linkedin using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Linkedin tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Linkedin action and event your agent gets out of the box.

Create article or URL share

Tool to create an article or URL share on LinkedIn using the UGC Posts API.

Create comment on LinkedIn post

Tool to create a first-level or nested comment on a LinkedIn share, UGC post, or parent comment via the Social Actions Comments API.

Create a LinkedIn post

Creates a new post on LinkedIn for the authenticated user or an organization they manage.

Create video post

Publish an available member-owned LinkedIn video as a personal native video post.

Delete LinkedIn Post

Deletes a specific LinkedIn post (share) by its unique `share_id`, which must correspond to an existing share.

Delete Post

Delete a LinkedIn post using the Posts API REST endpoint.

Delete UGC Post (Legacy)

Delete a UGC post using the legacy UGC Post API endpoint.

Get ad targeting facets

Tool to retrieve available ad targeting facets from LinkedIn Marketing API.

Get audience counts

Retrieves audience size counts for specified targeting criteria.

Get company info

Retrieves details for the first organization in a page of ACLs matching the authenticated user's selected role and state.

Get image details

Tool to retrieve details of a LinkedIn image using its URN.

Get images

Tool to retrieve image metadata including download URLs, status, and dimensions from LinkedIn's Images API.

Get my info

Fetches the authenticated LinkedIn user's profile information including name, headline, profile picture, and other profile details.

Get network size

Tool to retrieve the follower count for a LinkedIn organization.

Get organization page statistics

Tool to retrieve page statistics for a LinkedIn organization page.

Get person profile

Retrieves a LinkedIn member's profile information by their person ID.

Get post content

Tool to retrieve detailed post content including text, images, videos, and metadata from LinkedIn by post URN.

Get share statistics

Retrieves share statistics for a LinkedIn organization, including impressions, clicks, likes, comments, and shares.

Get videos

Retrieves video metadata from LinkedIn for a video owned by a person or organization.

Initialize image upload

Tool to initialize an image upload to LinkedIn and return a presigned upload URL plus the resulting image URN.

List reactions on entity

Retrieves reactions (likes, celebrations, etc.

Register image upload

Tool to initialize a native LinkedIn image upload for feed shares and return a presigned upload URL plus the resulting digital media asset URN.

Search ad targeting entities

Search for ad targeting entities using typeahead search.

Upload video

Upload an MP4 video for a native post by the authenticated LinkedIn member and wait until it is ready.

Who Am I

Return the identity (name, email) of the connected LinkedIn account.

FRAMEWORKS

How to build Linkedin MCP Agent with another framework

Claude Code logo

Claude Code

Use Linkedin MCP with Claude Code

Cursor logo

Cursor

Use Linkedin MCP with Cursor

ChatGPT logo

ChatGPT

Use Linkedin MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Linkedin MCP with Claude Cowork

Antigravity logo

Antigravity

Use Linkedin MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Linkedin MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Linkedin MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Linkedin MCP with Grok Bot

Muse logo

Muse

Use Linkedin MCP with Muse

Codex logo

Codex

Use Linkedin MCP with Codex

Kimi Code logo

Kimi Code

Use Linkedin MCP with Kimi Code

Grok Build logo

Grok Build

Use Linkedin MCP with Grok Build

VS Code logo

VS Code

Use Linkedin MCP with VS Code

OpenCode logo

OpenCode

Use Linkedin MCP with OpenCode

OpenClaw logo

OpenClaw

Use Linkedin MCP with OpenClaw

Hermes logo

Hermes

Use Linkedin MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Linkedin MCP with Atomic Agent

CLI logo

CLI

Use Linkedin MCP with CLI

LangChain logo

LangChain

Use Linkedin MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Linkedin MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Linkedin MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Linkedin MCP with LlamaIndex

CrewAI logo

CrewAI

Use Linkedin MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Linkedin MCP with Pydantic AI

AutoGen logo

AutoGen

Use Linkedin MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Linkedin MCP server, the agents and LLMs can only access a fixed set of Linkedin tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Linkedin and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Linkedin tools.

Yes, absolutely. You can configure which Linkedin scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Linkedin data and credentials are handled as safely as possible.

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