Authing MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Authing 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"authing": {
"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 Authing, 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 Authing MCP Server
Empower your AI agent to orchestrate your entire identity infrastructure with Authing, the premier cloud-native IDaaS platform. By connecting Authing to your agent, you transform complex user management, organizational modeling, and security auditing into a natural conversation. Your agent can instantly list users, retrieve detailed profile metadata, browse organizational structures, and monitor security audit logs without you ever needing to navigate the comprehensive Authing console. Whether you are conducting a compliance audit or managing application access, your agent acts as a real-time identity assistant, keeping your user data accurate and your systems secure.
LangChain's ecosystem of 500+ components combines seamlessly with Authing through native MCP adapters. Connect 10 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
- User Orchestration — List and retrieve detailed information about users in your Authing user pool.
- Organizational Management — Browse and monitor organizational units and hierarchies across your company.
- Access Control Auditing — List roles, groups, and permission resources to identify authorization patterns.
- Security Monitoring — Retrieve real-time security audit logs to monitor administrative and user actions.
- System Configuration — Access high-level security settings and metadata for your identity projects.
The Authing MCP Server exposes 10 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.
How to Connect Authing to LangChain via MCP
Follow these steps to integrate the Authing MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Authing via MCP
Why Use LangChain with the Authing MCP Server
LangChain provides unique advantages when paired with Authing through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Authing 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 Authing queries for multi-turn workflows
Authing + LangChain Use Cases
Practical scenarios where LangChain combined with the Authing MCP Server delivers measurable value.
RAG with live data: combine Authing tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Authing, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Authing tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Authing tool call, measure latency, and optimize your agent's performance
Authing MCP Tools for LangChain (10)
These 10 tools become available when you connect Authing to LangChain via MCP:
create_user
Create a new user
get_audit_logs
Get security audit logs
get_security_settings
Get pool security settings
get_user
Get user details
list_applications
List registered applications
list_groups
List user groups
list_organizations
List organizations
list_resources
List permission resources
list_roles
List user roles
list_users
List application users
Example Prompts for Authing in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Authing immediately.
"List all users in our Authing pool."
"Show me the security audit logs from today."
"List all organizational units in the company."
Troubleshooting Authing MCP Server with LangChain
Common issues when connecting Authing to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAuthing + LangChain FAQ
Common questions about integrating Authing 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Authing with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Authing to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
