How to Use the YepCode MCP in LangChain

Q: Can YepCode provide credentials for my LangChain agents?

YepCode manages account secrets. You can use the listsecrets tool to see what credentials are available for your agent's execution context.

Build complex agent chains and multi-step reasoning pipelines using YepCode and LangChain.

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Connect YepCode MCP to LangChain

Create your Vinkius account to connect YepCode 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.

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Setup YepCode with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chaining Execution Status Checks

You can build a chain that first identifies available processes with `list_processes`. Then, the next step uses specific process IDs to fetch detailed information using `get_process_details`. This lets your agent decide which services are ready and whether they need credentials. It's perfect for complex workflows where one API call needs context from another.

Automated Secret Retrieval

An agent can first check the available organizational structure by calling `list_teams`. Next, it narrows down its target and calls `list_secrets` to see exactly what credentials are needed. This setup means your LangChain application doesn't guess. It verifies team membership before attempting access, making the whole process reliable.

Executing Conditional Workflows

Need a system that only runs if certain conditions are met? You can list recent actions via `list_executions`. Then, your agent analyzes the output and decides to trigger a new run using `run_process`. This pattern lets you build decision trees into your code. The outcome of viewing history directly dictates the next action taken by your AI client.

Setup guide

Set up YepCode 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 YepCode 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({
    "yepcode-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 YepCode transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YepCode. 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.

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Common questions about YepCode MCP in LangChain

YepCode makes every tool call a link in your chain. Your agent determines the sequence and calls tools like `list_processes` or `run_process`, feeding that output directly into the next step of reasoning.

YepCode manages account secrets. You can use the `list_secrets` tool to see what credentials are available for your agent's execution context.

The server exposes process management tools, including methods to view process history (`list_executions`) and current team structures (`list_teams`). This gives your agent visibility into operational metadata.

YepCode supports running serverless code snippets, which means it can act as the backend for building integrations in any programming language you use within your chain.

This server touches account secrets. Always ensure that your agents only request the minimum necessary permissions by explicitly calling `list_secrets` before any operational run.

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