How to Use the CometChat MCP in LangChain

Build complex chat automation chains in LangChain by linking CometChat tool outputs directly into your agent logic.

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Connect CometChat MCP to LangChain

Create your Vinkius account to connect CometChat to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain CometChat actions in LangChain

Pipe the results of `list_groups` or `get_user` directly into subsequent prompts within your LangChain agent. Your agent processes these chat records as structured data inputs for multi-step reasoning. This setup removes manual data handling between steps. The logic flows from one tool call to the next without leaving your LangChain runtime.

Automate user management workflows

Trigger `create_user` or `deactivate_user` based on external events detected by your chain. You define the logic that decides exactly when a user state change occurs. Your agent maintains full observability of these operations through LangSmith. You see exactly what inputs went into your CometChat commands and what the API returned.

Deploy multi-server MCP logic

Combine this MCP server with other data sources inside a single LangChain graph. Your agent evaluates information from multiple endpoints to decide if it should `send_message` or update a group. This architecture keeps your code modular. You mix chat operations with database queries and vector stores in one coherent execution flow.

Setup guide

Set up CometChat MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes CometChat tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "cometchat-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent CometChat transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Yes, you can. By passing the CometChat tools into your LangChain agent, you allow it to trigger `send_message` based on your custom prompt logic.

LangChain captures the output of every CometChat tool call. If a command fails, the exception propagates to your chain so you can implement retry logic or logging.

You can manage state by using the client session object. This keeps your CometChat context persistent across multiple turns of your LangChain conversation.

Vinkius manages your connection with a single endpoint token. We never store your CometChat user credentials or raw message content on our servers.

You define the allowed tool set during initialization. This restricts your LangChain agent to only the specific CometChat functions you choose to expose.

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