Bring Chatbot Builder
to LangChain
Create your Vinkius account to connect BotPenguin to LangChain and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the BotPenguin MCP Server?
Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.
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.
How it works
- Subscribe to this server
- Enter your BotPenguin API Token
- Start managing your conversational lead generation from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (8)
Retrieve message history of a chat
Get details of a specific contact
List all human agents/operators
List active chat sessions
Optional search text. List all BotPenguin contacts/leads
List all contact tags
Send a message in a specific chat
Send an OTP SMS to verify a phone number
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine BotPenguin MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across BotPenguin queries for multi-turn workflows
BotPenguin in LangChain
Why run BotPenguin with Vinkius?
The BotPenguin connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect BotPenguin using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
BotPenguin and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect BotPenguin to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
BotPenguin for LangChain
Every request between LangChain and BotPenguin is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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