Autenti MCP Server for LangChainGive LangChain instant access to 12 tools to Add New Contact, Check Api Health, Create New Signature Process, and more
LangChain is the leading Python framework for composable LLM applications. Connect Autenti 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 Autenti app connector for LangChain is a standout in the Document Management category — giving your AI agent 12 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({
"autenti": {
"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 Autenti, 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 Autenti MCP Server
Connect your Autenti account to any AI agent and take full control of your professional document signing workflows and e-signature compliance through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Autenti through native MCP adapters. Connect 12 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
- Process Orchestration — List and manage document signature processes programmatically, retrieving detailed status, high-fidelity metadata, and historical audit data in real-time
- Dynamic Lifecycle Management — Discover and execute available actions (Send, Sign, Reject) based on the document's current state to coordinate complex signature workflows
- Participant Intelligence — Programmatically add signers and observers to your processes and manage your organizational contact directory to ensure perfectly coordinated collaboration
- Event Monitoring — Access and monitor your complete directory of webhooks to receive real-time notifications for incoming document events directly through your agent
- Operational Visibility — Access high-fidelity profile metadata for your authenticated user and verify API connectivity directly through your agent for instant reporting
The Autenti MCP Server exposes 12 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 12 Autenti tools available for LangChain
When LangChain connects to Autenti through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signature, identity-verification, compliance, 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.
Add a contact to your address book
Verify Autenti API connectivity
Requires a title and metadata. Start a new document process
Use list_available_process_actions first to find valid names. Execute a discovered action (e.g., Send, Sign, Reject)
Get details for a specific signature process
Get authenticated user profile
Discover possible actions for a process
List active webhooks
List files within a process
List signers and observers
List your address book contacts
List all document signature processes
Connect Autenti to LangChain via MCP
Follow these steps to wire Autenti 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 Autenti MCP Server
LangChain provides unique advantages when paired with Autenti through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Autenti 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 Autenti queries for multi-turn workflows
Autenti + LangChain Use Cases
Practical scenarios where LangChain combined with the Autenti MCP Server delivers measurable value.
RAG with live data: combine Autenti tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Autenti, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Autenti tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Autenti tool call, measure latency, and optimize your agent's performance
Example Prompts for Autenti in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Autenti immediately.
"List all my active document signature processes."
"What actions can I take on process 'proc_123'?"
"Add 'John Doe' (john@example.com) to my Autenti contacts."
Troubleshooting Autenti MCP Server with LangChain
Common issues when connecting Autenti to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAutenti + LangChain FAQ
Common questions about integrating Autenti 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.