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Authing MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Authing
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Authing MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Authing tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Authing, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Authing tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

create_user

Create a new user

02

get_audit_logs

Get security audit logs

03

get_security_settings

Get pool security settings

04

get_user

Get user details

05

list_applications

List registered applications

06

list_groups

List user groups

07

list_organizations

List organizations

08

list_resources

List permission resources

09

list_roles

List user roles

10

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.

01

"List all users in our Authing pool."

02

"Show me the security audit logs from today."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Authing + LangChain FAQ

Common questions about integrating Authing MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Authing to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.