How do I chat with a specific bot?

Use the `send_bot_message` tool and provide the Bot ID and your message content. The AI agent will relay your message to the GPTBots platform and return the bot's response.

Can I check the status of a triggered workflow?

Yes. When you use `trigger_workflow`, it returns a Record ID. You can then pass that Record ID to the `query_workflow` tool to monitor its execution status (e.g., Running, Success, Failed).

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

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

asyncio.run(main())

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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 GPTBots MCP Server

Connect your GPTBots account to your AI agent and manage your enterprise AI infrastructure conversationally. Interact with your deployed bots, trigger complex automated workflows, and upload new documents to your knowledge bases without leaving your development environment.

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

Bot Interaction — List active conversations, review chat histories, and send messages directly to your deployed AI agents
Knowledge Management — Browse available knowledge documents and upload new content to keep your bots' context up to date
Workflow Automation — Trigger configured AI workflows and query their execution status programmatically
Database Queries — List tables and records hosted within the GPTBots platform database

The GPTBots 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 GPTBots to LangChain via MCP

Follow these steps to integrate the GPTBots 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 GPTBots via MCP

Why Use LangChain with the GPTBots MCP Server

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

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

GPTBots + LangChain Use Cases

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

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

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

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

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

GPTBots MCP Tools for LangChain (8)

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

create_knowledge_document

Upload or create a document in the Knowledge Base

get_conversation

Get details and history of a specific conversation

list_conversations

List chat conversations with a bot

list_databases

List tables in the platform database

list_knowledge_documents

List documents in a Knowledge Base

query_workflow

Check the execution status of a triggered workflow

send_bot_message

Send a message to a GPTBots Agent

trigger_workflow

Trigger an automated workflow

Example Prompts for GPTBots in LangChain

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

"List all recent conversations for bot ID 'bot_123xyz'."

"Trigger the onboarding workflow (ID: 'wf_456') and pass the parameter email='test@example.com'."

Troubleshooting GPTBots MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GPTBots + LangChain FAQ

Common questions about integrating GPTBots 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.