Chaport MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Chaport 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({
"chaport": {
"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 Chaport, 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 Chaport MCP Server
Connect your Chaport account to any AI agent and take full control of your customer messaging operations through natural conversation. Streamline how you engage with website visitors and manage your support team.
LangChain's ecosystem of 500+ components combines seamlessly with Chaport through native MCP adapters. Connect 8 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
- Live Messaging — Send and receive messages in active chat sessions natively
- Visitor Intelligence — List and retrieve details for recent website visitors and their contact info flawlessly
- Conversation History — Access full chat histories and event logs to understand customer context securely
- Operator Oversight — Monitor agent availability and list all operators in your account in real-time
- Status Management — Identify which agents are currently online to manage support load flawlessly
- Agent Insights — Retrieve your own operator profile and account metadata directly within your workspace
The Chaport MCP Server exposes 8 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 Chaport to LangChain via MCP
Follow these steps to integrate the Chaport 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 8 tools from Chaport via MCP
Why Use LangChain with the Chaport MCP Server
LangChain provides unique advantages when paired with Chaport through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Chaport 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 Chaport queries for multi-turn workflows
Chaport + LangChain Use Cases
Practical scenarios where LangChain combined with the Chaport MCP Server delivers measurable value.
RAG with live data: combine Chaport tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Chaport, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Chaport tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Chaport tool call, measure latency, and optimize your agent's performance
Chaport MCP Tools for LangChain (8)
These 8 tools become available when you connect Chaport to LangChain via MCP:
get_chat_history
Retrieve the message history and events for a specific chat
get_my_agent_profile
Retrieve information about the authenticated agent
get_visitor_details
Get detailed information for a specific visitor
get_visitor_last_chat
Retrieve the last chat session for a specific visitor
list_chaport_operators
List all operators in your Chaport account
list_online_agents
List all agents who are currently online
list_website_visitors
List recent visitors to your website
send_agent_message
Send a message to a visitor in a specific chat
Example Prompts for Chaport in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Chaport immediately.
"List all website visitors from the last hour."
"Which support agents are currently online in Chaport?"
"Show me the message history for chat ID 123456."
Troubleshooting Chaport MCP Server with LangChain
Common issues when connecting Chaport to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersChaport + LangChain FAQ
Common questions about integrating Chaport 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 Chaport 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 Chaport to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.