The Botforge MCP Server for LangChainGive LangChain instant access to 5 tools to Get Bot Status, Get Samples, List Bots, and more
LangChain is the leading Python framework for composable LLM applications. Connect The Botforge 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 for LangChain
The The Botforge MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 5 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({
"the-botforge": {
"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 The Botforge, 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 The Botforge MCP Server
Connect your The Botforge account to any AI agent and simplify how you manage your conversational AI, handle contact submissions, and monitor bot health through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with The Botforge through native MCP adapters. Connect 5 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 Oversight — List all chatbots in your account and retrieve real-time operational status for specific bot IDs.
- Contact Submission — Programmatically submit data to your bot's contact forms, ideal for automated lead capture.
- Event Integration — Subscribe to bot events via webhooks to receive real-time updates on user interactions.
- Metadata Inspection — Retrieve sample data and form field configurations to understand your bot's data structure.
- Operational Monitoring — Check connectivity and verify if your bots are online and responsive via AI queries.
The The Botforge MCP Server exposes 5 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 The Botforge tools available for LangChain
When LangChain connects to The Botforge through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-platform, conversational-ai, lead-generation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get bot status on The Botforge
Check bot operational status
Get samples on The Botforge
Get bot form field samples
List bots on The Botforge
List all chatbots
Submit contact on The Botforge
Pass data as a JSON string. Submit data to the bot contact form
Subscribe webhook on The Botforge
Pass data as a JSON string. Subscribe to bot events via webhook
Connect The Botforge to LangChain via MCP
Follow these steps to wire The Botforge into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 The Botforge MCP Server
LangChain provides unique advantages when paired with The Botforge through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine The Botforge 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 The Botforge queries for multi-turn workflows
The Botforge + LangChain Use Cases
Practical scenarios where LangChain combined with the The Botforge MCP Server delivers measurable value.
RAG with live data: combine The Botforge tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query The Botforge, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain The Botforge tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every The Botforge tool call, measure latency, and optimize your agent's performance
Example Prompts for The Botforge in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with The Botforge immediately.
"List all chatbots in my account."
"Submit a contact to the bot: { "first_name": "John", "email": "john@example.com", "message": "Interested in a demo" }."
"Check the operational status of bot 'bot_10293'."
Troubleshooting The Botforge MCP Server with LangChain
Common issues when connecting The Botforge to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersThe Botforge + LangChain FAQ
Common questions about integrating The Botforge 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?
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