How to Use the CometChat MCP in Google ADK

Q: Can my Google ADK agent filter CometChat tools?

Yes, use the optional toolnames filter to restrict what your agent can touch. This limits the scope of your agent's capabilities in production.

Connect CometChat to Google ADK to power your enterprise cloud agents.

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Connect CometChat MCP to Google ADK

Create your Vinkius account to connect CometChat 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 CometChat with Google ADK

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CometChat integration for Google ADK

The `list_users` and `get_user` tools give your Google ADK agent immediate access to your entire user base. It bridges the gap between your chat data and your BigQuery analytics. Your agents act on real-time data from your platform. This keeps your infrastructure aligned with user activity in the cloud.

Advanced group messaging with Google ADK

Use `list_groups` to scan active discussions and `send_message` to broadcast updates. It allows your Google ADK agent to orchestrate communication across complex enterprise environments. Your logic runs locally while the tools handle the API calls. You maintain full control over the execution flow.

Maintain user integrity in Google ADK

The `delete_user` tool allows for strict record maintenance when users leave your platform. It keeps your CometChat instance aligned with your Google Cloud identity stores. Your agent checks existing records before taking action. This prevents accidental data loss during your cleanup tasks.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CometChat. 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 CometChat MCP in Google ADK

Initialize an McpToolset with your server URL. Add this toolset to your LlmAgent to start executing CometChat commands immediately.

Yes, use the optional tool_names filter to restrict what your agent can touch. This limits the scope of your agent's capabilities in production.

It does. Gemini models can ingest the message history returned by `list_messages` to provide deep insights for your enterprise workflows.

Vinkius handles your authentication endpoint. Your agent communicates through an encrypted channel to the CometChat API.

User metadata is transmitted as temporary JSON objects during the request lifecycle. We never store your user profiles, ensuring your sensitive data remains transient.

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