Authing MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Authing through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Authing "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Authing?"
)
print(result.data)
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.
Pydantic AI validates every Authing tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Authing MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Authing with type-safe schemas
Why Use Pydantic AI with the Authing MCP Server
Pydantic AI provides unique advantages when paired with Authing through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Authing integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Authing connection logic from agent behavior for testable, maintainable code
Authing + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Authing MCP Server delivers measurable value.
Type-safe data pipelines: query Authing with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Authing tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Authing and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Authing responses and write comprehensive agent tests
Authing MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Authing to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Authing to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAuthing + Pydantic AI FAQ
Common questions about integrating Authing MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
