How to Use the Gigs MCP in Pydantic AI

Q: Can Pydantic AI verify Gigs connection status?

Yes, use the verifyapiconnection tool. It returns a status that your agent can validate against a boolean model to confirm the Gigs backend is ready for requests.

Enforce strict data validation for Gigs operations using Pydantic AI for reliable telecom automation.

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Connect Gigs MCP to Pydantic AI

Create your Vinkius account to connect Gigs 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 Gigs with Pydantic AI

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Type-safe Gigs provisioning in Pydantic AI

Every telecom operation is validated against your Pydantic models at runtime. When you call `create_mobile_subscription`, the agent ensures the request structure is perfect before sending it to Gigs. This eliminates silent failures. If the API returns unexpected data, the agent halts, protecting your system from corrupted state.

Validated usage tracking with Pydantic AI

Fetch data metrics using `get_subscription_usage` and immediately map them to your schema. The agent verifies every field, ensuring your usage tracking is precise and reliable. Stop hallucinations at the source. Pydantic AI ensures that your agent only acts on verified data retrieved from the Gigs backend.

Telecom inventory oversight in Pydantic AI

List your assets using `list_connectivity_sims` and enforce strict typing on the results. This allows your agent to manage thousands of SIMs while maintaining 100% data integrity. Your code remains clean and maintainable. You get predictable behavior from your agent even when dealing with complex, nested API responses.

Setup guide

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

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

result = await agent.run("List recent Gigs 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 Gigs. 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 Gigs MCP in Pydantic AI

Pydantic AI forces runtime validation on all tool outputs. This ensures that your agent never acts on malformed Gigs data, preventing errors in your telecom provisioning workflow.

Install the pydantic-ai-slim package, create an MCPToolset pointing to the Gigs server, and pass it to your agent. The framework handles the validation of every server response automatically.

Access is restricted to your authenticated session. We secure your telecom identifiers and subscription records using end-to-end token validation, ensuring only your agent can access them.

Yes, use the `verify_api_connection` tool. It returns a status that your agent can validate against a boolean model to confirm the Gigs backend is ready for requests.

The agent will throw a validation error immediately. This prevents the system from proceeding with bad data, which is critical for managing live telecom subscriptions.

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