How to Use the BotPenguin MCP in LangChain

Build multi-step agent chains with LangChain using BotPenguin to manage your customer support directly in code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BotPenguin MCP to LangChain

Create your Vinkius account to connect BotPenguin 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.

GDPR Free for Subscribers

Setup BotPenguin with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain BotPenguin tools in LangChain

Feed the output of `get_chat_history` directly into your next logic block. Your agent decides the order of operations based on the data it sees. Everything stays transparent in LangSmith. You track exactly what the agent pulls from BotPenguin before it triggers the next step.

Manage support data programmatically

Call `list_chats` to find active sessions without leaving your script. It hooks into your LangGraph workflows for real-time customer interaction. Your code handles the logic while the MCP server takes care of the API calls. You define the path; the agent follows it.

Automate messaging via LangChain

Use `send_message` to reply to users automatically. It integrates into your chain as a final action after the agent processes the query. Verify user details first with `get_contact` to ensure the right person gets the right info. It keeps your support responses accurate.

Setup guide

Set up BotPenguin 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 BotPenguin 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({
    "botpenguin-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 BotPenguin transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BotPenguin. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BotPenguin now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BotPenguin MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. From there, you just pass the tool list into your agent definition.

Yes, once you provide the tool definitions, the agent evaluates the state and decides when to call functions like `list_agents`.

Vinkius handles the handshake and auth tokens for you. Your data travels over encrypted channels, never hitting a public database.

You need the standard MCP adapter. It wraps the server connection so your agent can interpret the schema without extra boilerplate.

We isolate your environment in a V8 sandbox. Access to sensitive contact records is restricted to your specific API token.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the BotPenguin MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started