CometChat MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CometChat through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cometchat": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using CometChat, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CometChat MCP Server
Connect your AI assistant to CometChat, the communication platform providing chat, voice, and video capabilities for applications.
LangChain's ecosystem of 500+ components combines seamlessly with CometChat through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- User Management — List registered users, check online status, and retrieve user profiles.
- Group Operations — Create, list, and manage chat groups with different privacy settings.
- Message History — Retrieve conversation histories for users or groups and search past messages.
The CometChat MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CometChat to LangChain via MCP
Follow these steps to integrate the CometChat MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from CometChat via MCP
Why Use LangChain with the CometChat MCP Server
LangChain provides unique advantages when paired with CometChat through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CometChat MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across CometChat queries for multi-turn workflows
CometChat + LangChain Use Cases
Practical scenarios where LangChain combined with the CometChat MCP Server delivers measurable value.
RAG with live data: combine CometChat tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CometChat, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CometChat tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CometChat tool call, measure latency, and optimize your agent's performance
CometChat MCP Tools for LangChain (10)
These 10 tools become available when you connect CometChat to LangChain via MCP:
create_group
Create a new group in CometChat
create_user
Create a new user in CometChat
deactivate_user
Deactivate a user instead of deleting them
delete_user
Permanently delete a user from CometChat
get_group_details
Retrieve details of a specific group
get_user
Retrieve detailed information about a specific user
list_groups
Retrieve a list of groups from CometChat
list_messages
Retrieve chat history messages
list_users
Retrieve a list of users from CometChat
send_message
Send a text message to a user or group
Example Prompts for CometChat in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with CometChat immediately.
"Show me the first 20 users in CometChat."
"Create a public group named 'Marketing Team' with GUID 'marketing-team'."
"Retrieve the conversation history between users 'alice' and 'bob'."
Troubleshooting CometChat MCP Server with LangChain
Common issues when connecting CometChat to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCometChat + LangChain FAQ
Common questions about integrating CometChat MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect CometChat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CometChat to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.