How to Use the MOBIDI MCP in Pydantic AI

Q: How do I register the MOBIDI server in pydantic-ai?

Instantiate the MCPToolset with the server's HTTP endpoint. Pass this toolset into your Agent constructor to give it access to all 12 campaign management tools.

Q: Does pydantic-ai validate MOBIDI report outputs?

Yes, every JSON response from executereport is validated against Pydantic schemas at runtime. This prevents your agent from digesting corrupted or incomplete performance logs.

Q: Can I use pydantic-ai to batch update MOBIDI records?

Yes, your agent can query records using listrecords and then loop through them to apply updates using updaterecord. The framework ensures each step of the loop conforms to your types.

Q: What happens if the API connection drops?

You can call checkmobidistatus to verify connectivity before starting your run. If the connection is down, the agent fails gracefully before attempting any database writes.

Build type-safe mobile ad workflows with Pydantic AI and validate every MOBIDI campaign update at runtime.

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Connect MOBIDI MCP to Pydantic AI

Create your Vinkius account to connect MOBIDI 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 MOBIDI with Pydantic AI

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Runtime type validation for MOBIDI campaigns

Stop silent database corruption by validating every single response from `get_record_by_id` against strict Pydantic models. If the API returns an unexpected payload structure, your code catches the error instantly. This ensures your MOBIDI campaign budgets and targeting parameters never drift into invalid states under Pydantic AI. Your agent will raise a clear validation error instead of processing bad data.

Safe budget adjustments via this MCP Server

Before committing a MOBIDI bid change with `update_record`, your Pydantic AI agent verifies that the input schema matches your exact constraints. The framework guarantees that numeric values like CPI targets remain within safe bounds. Using this MCP Server ensures that every MOBIDI campaign modification is structurally sound before execution. You get clean execution without worrying about malformed API requests breaking your tracking setup.

Verify system services and reporting schemas

Use `get_services` within your Pydantic AI workflow to check the state of the MOBIDI platform before running heavy analytical tasks. Your agent can check system health, then pull target data using `list_reports` without type mismatches. This structural safety makes your MOBIDI automation incredibly reliable. The agent handles the data mapping, and Pydantic AI guarantees that the output matches your expected model.

Setup guide

Set up MOBIDI 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": {
        "mobidi-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent MOBIDI 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 MOBIDI. 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.

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Common questions about MOBIDI MCP in Pydantic AI

Instantiate the `MCPToolset` with the server's HTTP endpoint. Pass this toolset into your `Agent` constructor to give it access to all 12 campaign management tools.

Yes, every JSON response from `execute_report` is validated against Pydantic schemas at runtime. This prevents your agent from digesting corrupted or incomplete performance logs.

Yes, your agent can query records using `list_records` and then loop through them to apply updates using `update_record`. The framework ensures each step of the loop conforms to your types.

You can call `check_mobidi_status` to verify connectivity before starting your run. If the connection is down, the agent fails gracefully before attempting any database writes.

Every MOBIDI install target and tracking URL processed by Pydantic AI goes through a secure, ephemeral V8 isolate. We manage all API authentication using a single-token gateway, so your raw database credentials are never exposed to the agent framework.

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