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Vinkius

Gigs MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gigs through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Gigs "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gigs?"
    )
    print(result.data)

asyncio.run(main())
Gigs
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* 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 Gigs MCP Server

Connect your Gigs telecom-as-a-service account to any AI agent to automate your mobile connectivity workflows through the Model Context Protocol (MCP). Gigs abstracts the complexity of global carriers into a unified API, allowing you to manage mobile plans and SIMs with ease. This MCP server enables you to retrieve connectivity plans, manage subscriber profiles (users), and track real-time data consumption directly through natural conversation.

Pydantic AI validates every Gigs tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.

Key Features

  • Subscription Orchestration — List all active and inactive mobile subscriptions, retrieve detailed configuration metadata, and create new subscriptions instantly.
  • Real-time Usage Tracking — Retrieve up-to-the-minute consumption data (data, talk, text) for any subscription to monitor user behavior.
  • User Management — Register new telecom users and manage their profiles programmatically from your chat interface.
  • Plan Discovery — Access a comprehensive catalog of voice and data plans available in 200+ countries.
  • SIM Inventory Oversight — List and retrieve metadata for both eSIMs and physical SIM cards.
  • Project Analytics — Access high-level metadata for your connected Gigs projects to verify settings and connectivity.
  • Real-time Synchronization — Keep your telecom operations accessible to your AI assistant without leaving your primary workspace.

The Gigs MCP Server exposes 12 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 Gigs to Pydantic AI via MCP

Follow these steps to integrate the Gigs MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Gigs with type-safe schemas

Why Use Pydantic AI with the Gigs MCP Server

Pydantic AI provides unique advantages when paired with Gigs through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gigs integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Gigs connection logic from agent behavior for testable, maintainable code

Gigs + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gigs MCP Server delivers measurable value.

01

Type-safe data pipelines: query Gigs with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Gigs tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Gigs and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Gigs responses and write comprehensive agent tests

Gigs MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Gigs to Pydantic AI via MCP:

01

create_mobile_subscription

Start new plan

02

create_telecom_user

Add new user

03

get_account_details

Get account identity

04

get_plan_details

Get plan metadata

05

get_subscription_details

Get subscription metadata

06

get_subscription_usage

Check data usage

07

list_connectivity_plans

List mobile plans

08

list_connectivity_sims

List SIM cards

09

list_connectivity_users

List telecom users

10

list_mobile_subscriptions

List all subscriptions

11

list_telecom_projects

List Gigs projects

12

verify_api_connection

Check connection

Example Prompts for Gigs in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Gigs immediately.

01

"List all available mobile data plans in the catalog."

02

"How much data has user 'sub_98765' used this month?"

03

"Create a new subscription for 'john@example.com' using plan 'plan_abc'."

Troubleshooting Gigs MCP Server with Pydantic AI

Common issues when connecting Gigs to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gigs + Pydantic AI FAQ

Common questions about integrating Gigs MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Gigs MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Gigs to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.