How to Use the LinkedIn MCP in Google ADK

Q: Can I limit which LinkedIn tools my Google ADK agent can access?

Yes, you can use the optional toolnames filter in the toolset configuration. This lets you restrict the Google ADK agent to read-only LinkedIn tools like listposts while blocking write tools like createpost.

Q: How do I pull past updates using Google ADK tools?

Your agent calls listposts on the MCP to retrieve recent updates for a specific author. It can then analyze those posts using Gemini's long-context window to identify top-performing content.

Run Gemini-powered Google ADK agents to analyze your LinkedIn presence and publish directly from your cloud databases.

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Connect LinkedIn MCP to Google ADK

Create your Vinkius account to connect LinkedIn 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 LinkedIn with Google ADK

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Connect BigQuery data to LinkedIn using Google ADK

The `create_post` tool connects your Google ADK agent directly to your LinkedIn feed. Stop manually copying Google Cloud reports into your LinkedIn social composer. Your Google ADK agent can pull performance data from BigQuery, synthesize the main takeaways, and call the tool to share them. Since the Google ADK supports long-context reasoning, you can feed entire research papers or database schemas into Gemini. The agent digests the material and uses the LinkedIn MCP Server to draft highly technical, accurate posts.

Audit brand pages using this MCP Server

You can inspect your business entities using the `list_organizations` tool in your Google ADK workflow. Keep track of your corporate LinkedIn footprint without leaving your Google Cloud terminal. Your Google ADK agent pulls your managed pages, then calls `get_organization` to inspect details for specific business entities. This setup allows your Google ADK enterprise agents to cross-reference your internal CRM data with your active LinkedIn organizations. You can quickly see which brand pages need updates and which ones are currently dormant.

Map team profiles and verify administrative access

The `get_me` tool checks the authenticated user's profile inside your Google ADK environment. Security in enterprise setups running LinkedIn integrations is non-negotiable. The agent uses this tool along with `get_email` to check who is running the current session before executing any actions. By matching the retrieved LinkedIn email against your internal Google Cloud IAM directory, you can block unauthorized users from posting. This simple check keeps your corporate brand safe from accidental or rogue updates.

Setup guide

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

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Common questions about LinkedIn MCP in Google ADK

You initialize McpToolset with your Vinkius HTTP transport URL and pass it to your LlmAgent tools list. The Gemini model immediately gains access to tools like `create_post` and `list_posts` on the MCP Server.

Yes, you can use the optional tool_names filter in the toolset configuration. This lets you restrict the Google ADK agent to read-only LinkedIn tools like `list_posts` while blocking write tools like `create_post`.

Yes, the Google ADK handles both transport types. For cloud-hosted environments, the streamable HTTP transport is the most reliable way to connect your agent to the Vinkius-hosted LinkedIn tools.

Your agent calls `list_posts` on the MCP to retrieve recent updates for a specific author. It can then analyze those posts using Gemini's long-context window to identify top-performing content.

Absolutely. Your LinkedIn profile data, organization lists, and post drafts are processed in memory within your secure Google Cloud environment. Vinkius executes the MCP Server inside an ephemeral sandbox, ensuring your authentication tokens are never exposed.

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