Can I search for a specific lead or contact by name?

Yes! Use the `list_contacts` tool and provide the `search_text` parameter with the name, email, or details you are looking for. The agent will return the matching profiles.

How do I review the chat history of a conversation?

First, use `list_chats` to find the active or historical session. Then, use `get_chat_history` with the Chat ID to retrieve the full log of messages.

Can I send an OTP SMS to a user?

Yes. Use the `send_otp` action and provide the user's phone number (with the country code). BotPenguin will handle the integration to send the verification code.

BotPenguin MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: BotPenguin
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect BotPenguin through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "botpenguin": {
            "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 BotPenguin, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 BotPenguin MCP Server

Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with BotPenguin 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

Contact Management — List and search for contacts or leads collected by your chatbots across multiple channels.
Chat Oversight — Retrieve active and historical chat sessions to monitor agent and bot performance.
Conversation Logging — Access the full message history for specific chat sessions.
Message Automation — Send messages directly into active chats to assist users programmatically.
Authentication Support — Trigger OTP SMS messages to verify user phone numbers.
Team Coordination — List all configured tags and human agents to ensure proper lead routing.

The BotPenguin 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 BotPenguin to LangChain via MCP

Follow these steps to integrate the BotPenguin 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 BotPenguin via MCP

Why Use LangChain with the BotPenguin MCP Server

LangChain provides unique advantages when paired with BotPenguin through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine BotPenguin 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 BotPenguin queries for multi-turn workflows

BotPenguin + LangChain Use Cases

Practical scenarios where LangChain combined with the BotPenguin MCP Server delivers measurable value.

RAG with live data: combine BotPenguin tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query BotPenguin, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain BotPenguin tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every BotPenguin tool call, measure latency, and optimize your agent's performance

BotPenguin MCP Tools for LangChain (8)

These 8 tools become available when you connect BotPenguin to LangChain via MCP:

get_chat_history

Retrieve message history of a chat

get_contact

Get details of a specific contact

list_agents

List all human agents/operators

list_chats

List active chat sessions

list_contacts

Optional search text. List all BotPenguin contacts/leads

list_tags

List all contact tags

send_message

Send a message in a specific chat

send_otp

Send an OTP SMS to verify a phone number

Example Prompts for BotPenguin in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with BotPenguin immediately.

"List the most recent contacts in BotPenguin."

"Show the chat history for chat session chat_123."

"Send an OTP SMS to +1555998877."

Troubleshooting BotPenguin MCP Server with LangChain

Common issues when connecting BotPenguin to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BotPenguin + LangChain FAQ

Common questions about integrating BotPenguin MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.