How to Use the Discourse MCP in Google ADK
Connect your Google ADK pipelines to your community data with this Discourse MCP server integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Discourse MCP to Google ADK
Create your Vinkius account to connect Discourse 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.
Google ADK forum category management
Your agents call `list_forum_categories` to map out your site structure. This allows your Google ADK setup to route tasks based on the specific category a user posted in. You gain visibility into every section of your forum. The agent reads the list and decides which topics require immediate attention based on your custom logic.
Deep thread analysis for Google ADK
Fetch complete post histories using `get_topic_details` for any thread ID. Your Google ADK agent processes this content to generate summaries or sentiment reports. This flow works best when you feed the data into large context models. You get the full text of every reply without needing to scrape the frontend.
User activity tracking via MCP Server
Query member status with `list_active_members` to see who is currently posting. Your Google ADK agent uses this data to identify power users or community trends. You can also verify profile details with `get_user_profile` to confirm member status. It provides the exact context needed for your enterprise-grade automation.
Set up Discourse MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Discourse tools in your ADK agent.
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="Discourse_agent",
model="gemini-2.0-flash",
instruction="You have access to Discourse tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Discourse. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Discourse MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Discourse MCP today
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