Ugosign MCP Server for LangChainGive LangChain instant access to 6 tools to Create Signature Request, Get Document, Get Organization, and more
LangChain is the leading Python framework for composable LLM applications. Connect Ugosign through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Ugosign app connector for LangChain is a standout in the Document Management category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ugosign": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Ugosign, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Ugosign MCP Server
Connect your Ugosign account to any AI agent to streamline your electronic signature and document approval workflows. Ugosign provides a powerful REST API for programmatically managing signature requests, tracking document statuses, and maintaining a secure audit trail of all signed agreements.
LangChain's ecosystem of 500+ components combines seamlessly with Ugosign through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Signature Request Orchestration — List and create new electronic signature requests for one or more recipients with detailed tracking
- Document Lifecycle Tracking — Monitor the real-time status of your documents and signature requests from draft to fully executed
- Audit Trail Monitoring — Access detailed metadata for all signature requests to maintain a secure and compliant record of your agreements
- Organization Intelligence — Retrieve detailed information about your Ugosign organization to maintain an overview of your team's signing capacity
- Frictionless Approvals — Get a comprehensive overview of active signature requests and pending actions using natural language commands
The Ugosign MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Ugosign tools available for LangChain
When LangChain connects to Ugosign through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signatures, document-approval, audit-trail, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Create a new signature request
Get document details
Get organization details
Get signature request details
List all documents
List all signature requests
Connect Ugosign to LangChain via MCP
Follow these steps to wire Ugosign into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Ugosign MCP Server
LangChain provides unique advantages when paired with Ugosign through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ugosign MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Ugosign queries for multi-turn workflows
Ugosign + LangChain Use Cases
Practical scenarios where LangChain combined with the Ugosign MCP Server delivers measurable value.
RAG with live data: combine Ugosign tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ugosign, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ugosign tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ugosign tool call, measure latency, and optimize your agent's performance
Example Prompts for Ugosign in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ugosign immediately.
"List all active signature requests in Ugosign."
"What is the status of signature request 'req_123'?"
"Show me the details for my Ugosign organization."
Troubleshooting Ugosign MCP Server with LangChain
Common issues when connecting Ugosign to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUgosign + LangChain FAQ
Common questions about integrating Ugosign MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.