How to Use the Yousign MCP in LangChain
Build complex signing pipelines with LangChain and our MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Yousign MCP to LangChain
Create your Vinkius account to connect Yousign 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.
Manage signature workflows in steps.
Need to start a new document process? Use `create_request` to draft a signature request. This action gives you the initial ID needed for all subsequent steps. Once you have that ID, your agent can decide whether it needs more signers or if the documents need checking by calling tools like `list_documents` and `add_signer`. The whole flow is traceable in LangSmith.
Monitor and react to signing status.
Check the current state of a process using `get_request`. This tells your agent if the signature request is pending, active, or stalled. You can then write logic that waits for specific statuses before proceeding. If you need to stop everything, calling `cancel_request` permanently halts an ongoing workflow. It’s critical to use this tool only when the reason for cancellation is clear.
Audit and track all requests.
Want a full overview of what's going on? Start by calling `list_requests` to see every signature request in your organization. This provides a list that you can then iterate over. From that master list, you can pull specific details for any single job using `get_request`. It’s how the agent scopes down from 'all jobs' to 'this specific one'.
Set up Yousign MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 Yousign tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"yousign-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 Yousign 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 Yousign. 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.
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 Yousign MCP in LangChain
Use it with your favorite AI tools
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