BotGenuity MCP Server for LangChainGive LangChain instant access to 6 tools to Chat With Bot, Get Chatbot Details, Get Conversation History, and more
LangChain is the leading Python framework for composable LLM applications. Connect BotGenuity 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 App Connector for LangChain
The BotGenuity app connector for LangChain is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"botgenuity": {
"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 BotGenuity, 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 BotGenuity MCP Server
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with BotGenuity through native MCP adapters. Connect 6 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
- Bot Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
The BotGenuity MCP Server exposes 6 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.
All 6 BotGenuity tools available for LangChain
When LangChain connects to BotGenuity through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-ai, digital-assistant, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Connect BotGenuity to LangChain via MCP
Follow these steps to wire BotGenuity into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the BotGenuity MCP Server
LangChain provides unique advantages when paired with BotGenuity through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine BotGenuity 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 BotGenuity queries for multi-turn workflows
BotGenuity + LangChain Use Cases
Practical scenarios where LangChain combined with the BotGenuity MCP Server delivers measurable value.
RAG with live data: combine BotGenuity tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query BotGenuity, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain BotGenuity tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every BotGenuity tool call, measure latency, and optimize your agent's performance
Example Prompts for BotGenuity in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with BotGenuity immediately.
"List all my chatbots in BotGenuity."
"Show the captured leads for chatbot ID 'B123'."
"Ask my 'Customer Hero' bot: 'What are our shipping rates?'."
Troubleshooting BotGenuity MCP Server with LangChain
Common issues when connecting BotGenuity to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBotGenuity + LangChain FAQ
Common questions about integrating BotGenuity 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.