How to Use the Archbee MCP in LangChain

Chain your technical docs directly into LangChain agents for automated OpenAPI syncs and space management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Archbee MCP to LangChain

Create your Vinkius account to connect Archbee to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Archbee with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Archbee workflows in LangChain

Stop manual documentation updates by chaining `sync_openapi` with your CI pipeline. Your agent handles the heavy lifting, ensuring your technical specs match your code. Connect these tools to your graph to trigger `create_update_doc` automatically. You define the logic, and the agent executes the sequence without human intervention.

Full observability for every MCP Server call

Trace every interaction with your documentation portal using standard LangSmith hooks. You see exactly what `search_docs` returned and how your agent interpreted the data. Debugging becomes trivial when you can inspect the input and output of every tool call. You gain a clear audit trail for every change made to your knowledge base.

Compose multi-step documentation pipelines

Build complex reasoning chains that combine Archbee tools with your existing databases. The output from `get_doc` becomes the input for your next analytical step. Your agents decide the order of operations based on intermediate results. This creates a feedback loop that keeps your documentation current and accurate.

Setup guide

Set up Archbee MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Archbee tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "archbee-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Archbee transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Archbee. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Archbee now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Archbee MCP in LangChain

Yes, you can. By integrating the MCP server into your agentic workflow, you enable direct manipulation of your documentation spaces via defined tool chains.

The server remains stateless by default. You can initiate a persistent session through the client to maintain context across complex documentation tasks.

Absolutely. You can aggregate this server alongside others to build sophisticated pipelines that pull data from various sources into one documentation repository.

Yes. Every tool execution is observable, allowing you to log inputs and outputs for monitoring and refinement of your automated processes.

Your documentation data stays within your authorized Archbee environment. The connection uses your specific endpoint token to ensure that only your agent performs requested actions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript