How to Use the MobTech Platform MCP in Pydantic AI

Validate every SMS code and social metric at runtime with Pydantic AI and this type-safe MCP Server.

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Connect MobTech Platform MCP to Pydantic AI

Create your Vinkius account to connect MobTech 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 MobTech Platform with Pydantic AI

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Claude

Perplexity

Type-safe SMS verification that fails loudly on errors

Stop worrying about silent API failures corrupting your auth flows. When your agent calls `verify_sms_code`, Pydantic AI validates the response schema at runtime. If the API returns unexpected data, the framework raises a validation error immediately. The agent uses `check_phone_status` to confirm limits before attempting a verification. Every parameter and response matches strict Python types. You catch bugs during development, not in production.

Validate social analytics schemas with this MCP Server

Pull social sharing metrics without risking parsing errors. This server lets your agent call `get_share_analytics` to fetch user engagement data. The framework parses the incoming JSON against strict models so your code knows exactly what fields exist. This ensures your data pipelines never break due to unexpected API changes. Your agent can confidently process sharing stats and pass them to other typed services. It keeps your codebase clean and reliable.

Check OAuth binding states with strict type guarantees

Verify user connection states securely. Your agent calls `get_social_auth_status` to see if a user has linked their social profiles. The response is parsed and validated, giving your agent clear boolean flags to act on. You configure the toolset with your Vinkius HTTP endpoint and pass it to the Agent. It works with any LLM provider you choose. You get full type safety without writing boilerplate validation code.

Setup guide

Set up MobTech 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": {
        "mobtech-platform-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MobTech. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about MobTech Platform MCP in Pydantic AI

Install the slim package with MCP support. Use the MCPToolset class with your Vinkius endpoint URL and pass it to the toolsets list of your Agent. The framework handles the type mapping automatically.

The framework raises a ValidationError. This prevents your agent from making decisions based on malformed or hallucinated data, ensuring your auth and sharing pipelines remain accurate.

Yes, Pydantic AI is model-agnostic. You can connect this server to agents running on local models or commercial APIs while maintaining the exact same validation rules for your SMS and sharing tools.

Yes. The toolset integrates with the async engine of the framework. Calls to `verify_sms_code` run asynchronously, keeping your web servers responsive under heavy traffic.

Your phone numbers, SMS verification codes, and social OAuth tokens are validated in memory and sent directly to MobTech. Vinkius runs the MCP Server in an ephemeral sandbox, meaning no sensitive authentication state is ever persisted.

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