How to Use the DocuSeal MCP in LangChain
Chain your contract signing logic directly in LangChain agents for automated, multi-step document workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DocuSeal MCP to LangChain
Create your Vinkius account to connect DocuSeal 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.
Automate document signing in LangChain
Your agent handles contract generation by using `create_template` to render HTML documents on the fly. This avoids manual file handling and keeps your pipeline focused on logic. Once the structure is set, the agent uses `create_submission` to dispatch the contract to the signer. Every step is logged through your LangSmith traces for visibility.
Track signature status with LangChain
Don't guess if a document is ready. Your agent uses `get_submission` to poll the status of active requests, keeping your state machine updated in real-time. When a signing event completes, the agent triggers `get_submission_documents` to pull the final PDF. It then moves the file into your storage layer without human intervention.
Manage templates via LangChain chains
Update your legal boilerplate without touching the code. Your agent uses `list_templates` to find the correct document ID and `update_template` to modify the content. This keeps your contract library current. Your agent ensures the right version is used every time by checking the template details first.
Set up DocuSeal 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 DocuSeal 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({
"docuseal-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 DocuSeal 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 DocuSeal. 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
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Real-time monitoring
Live
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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
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Common questions about DocuSeal MCP in LangChain
Use it with your favorite AI tools
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