How to Use the Descope (Auth Platform) MCP in Pydantic AI

Build type-safe auth flows with Descope (Auth Platform) using Pydantic AI for guaranteed data integrity.

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Connect Descope (Auth Platform) MCP to Pydantic AI

Create your Vinkius account to connect Descope (Auth Platform) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Descope (Auth Platform) with Pydantic AI

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Strictly validate auth responses in Pydantic AI

Every call like `auth_otp_verify_sms` is checked against your Pydantic schemas. If the API returns garbage, the agent stops immediately instead of guessing. This prevents silent failures in your auth logic. You define the shape of the data, and the agent enforces it during every interaction.

Update user profiles via Pydantic AI

Modify user attributes with `mgmt_update_user` while knowing exactly what data gets sent. The agent validates the update payload against your models before it ever hits the server. This eliminates hallucinated fields or invalid types. Your user management becomes predictable and strictly typed.

Securely manage roles with this MCP Server

Define and assign roles using `mgmt_create_role` and `mgmt_create_permission`. This MCP Server allows your Pydantic AI agent to maintain access control lists with high precision. Your code stays clean and readable. Because Pydantic handles the validation, you don't need to write custom checks for every single API response.

Setup guide

Set up Descope (Auth Platform) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "descope-auth-platform-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Descope (Auth Platform) tools.",
)

result = await agent.run("List recent Descope (Auth Platform) transactions")
print(result.output)

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Common questions about Descope (Auth Platform) MCP in Pydantic AI

Yes, the tools are designed to return data that maps directly to Pydantic models. This ensures your agent is always working with valid, expected types.

Install the slim package and initialize the MCPToolset. It handles the connection and allows your agent to use the server tools immediately.

It will. The framework enforces your model definitions at runtime, so any mismatch results in a clear error instead of bad data.

It does. You can use SSE or Streamable HTTP to connect your agent to the server. Both provide the stability you need for production.

The server only processes authentication tokens and user permission records. We enforce strict schema validation to ensure no extra data leaves your controlled environment.

Use it with your favorite AI tools

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