How to Use the Cody AI MCP in LangChain

Connect Cody AI directly into LangChain pipelines to automate knowledge base management and bot interactions within your chains.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cody AI MCP to LangChain

Create your Vinkius account to connect Cody AI 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 Cody AI with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Cody AI actions in LangChain

Feed `send_message` outputs directly into your next LangChain node. You define the sequence where the agent queries a bot and parses the response for downstream tasks. Observability isn't just a buzzword here. Every `list_conversations` or `get_bot_details` call shows up in LangSmith, letting you track token usage and latency for every step.

Manage your Cody AI knowledge base

Use `import_webpage` to pipe new research directly into your folders. LangChain treats these as just another tool in your agent's repertoire. Keep your documentation fresh without manual interference. Your agent monitors `get_document_status` and triggers re-indexing once content is ready.

Deploy Cody AI MCP Server tools

Initialize the connection via `MultiServerMCPClient` to bridge your environment. This setup allows you to combine Cody AI with any other data source in your graph. States persist when you initiate `client.session()`. You control exactly when the agent holds context and when it clears its memory.

Setup guide

Set up Cody AI 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 Cody AI 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({
    "cody-ai-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 Cody AI 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 Cody AI. 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 Cody AI 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 Cody AI MCP in LangChain

Install the necessary adapters and point your client to the Vinkius endpoint. You then pass the server tools directly into your agent constructor.

Yes, standard LangSmith tracing captures every interaction. You get full visibility into the inputs and outputs of every tool invocation.

It excels at them. Because it follows the protocol, you can chain multiple bot operations or alternate between web imports and message history checks.

Data flows through the established connection to the Cody AI API. Vinkius operates a stateless proxy, meaning your API tokens are the only gatekeeper.

Your credentials never touch our storage. We handle the handshake and pass the encrypted token to the server at runtime.

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