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How to Use the Ugosign MCP in LangChain

Build multi-step automation chains for LangChain.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect Ugosign MCP to LangChain

Create your Vinkius account to connect Ugosign 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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Automate Signature Workflows

Start by calling `list_documents` to gather a list of files. Then, pass the necessary details into `create_signature_request`. This lets your agent chain together data retrieval and action execution in one go. Your multi-step reasoning pipeline determines when these calls run. The output from listing documents automatically informs the input for creating the signature request.

Verify Document Statuses

Need to check if a document is ready or where it stands? Use `get_document` to pull full file details, then follow up with `get_signature_request`. This allows your agent to confirm both the asset and its current lifecycle stage. Observing these steps helps you build complex chains. Your agent can decide: 'If document status is X, then call `get_signature_request`.' It's all about flow control.

Build Contextual Requests

You can pull necessary context before signing. First, use `get_organization` to get the proper company details. Next, pass this verified data into a new signature workflow using `create_signature_request`. This ensures the request has all required party information. This pattern lets your agent act like an expert user. It doesn't just call tools; it gathers prerequisites first.

Setup guide

Set up Ugosign MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Ugosign tool calls through the MCP protocol.

  4. 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({
    "ugosign-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 Ugosign transactions"
    })
    print(result["messages"][-1].content)

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

You use the `get_document` tool to retrieve specific details. After that, you can use `list_signature_requests` if you need a broader view of what's pending across multiple files.
Yep. You call `get_organization` to grab company details first. This output then becomes the input for tools like `create_signature_request`, making your chains highly contextual.
The `list_signature_requests` tool gives you a list of all active signature jobs. For the deep dive, use `get_signature_request` to pull details on any specific request ID.
It handles document details and signature request data. This is crucial because the agent needs both pieces of information to successfully build a chain that moves from drafting to signing.
Just use `list_documents`. This tool returns an array of document metadata, letting your agent see exactly what files are managed by the platform right now.

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