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How to Use the Equinix Metal MCP in Pydantic AI

Type-safe Equinix Metal infrastructure management for your Pydantic AI projects.

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Pydantic AI

Connect Equinix Metal MCP to Pydantic AI

Create your Vinkius account to connect Equinix Metal 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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Pydantic AI integration for Equinix Metal

Every response from `create_user_api_key` is validated against your Pydantic models. If the API returns malformed data, your agent stops immediately to prevent downstream errors. This architecture ensures that your infrastructure state remains consistent. You don't have to worry about silent failures when managing complex keys or project settings.

Strict management of project invitations

Use `get_invitation` to pull data that your agent parses into strict schemas. You know exactly what fields exist before you decide to run `decline_invitation`. This validation cycle adds a layer of safety that standard agents lack. It forces your code to handle every possible state of an invitation explicitly.

Reliable email and key operations

Your agent manages emails using `create_email` and `delete_email` with full type verification. This guarantees that your contact lists remain formatted correctly. Handling API keys becomes a predictable process. By wrapping `delete_api_key` in a Pydantic-validated workflow, you ensure that only authorized, correctly-typed requests reach the Equinix Metal platform.

Setup guide

Set up Equinix Metal MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "equinix-metal-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Equinix Metal transactions")
print(result.output)

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Common questions about Equinix Metal MCP in Pydantic AI

Pydantic AI provides runtime validation for all tool outputs. This prevents your agent from acting on corrupted Equinix Metal data, which is critical for infrastructure stability.
The framework compares the tool output against your defined Pydantic models. If the data doesn't match the expected schema, the agent raises a validation error instead of continuing.
You can build a robust cleanup script that uses `delete_api_key`. Pydantic AI ensures the key IDs passed to the tool are valid strings, reducing the risk of accidental deletion.
The server acts as a thin, stateless proxy. It handles the authentication and tool execution without caching your Equinix Metal account details or project records.
It processes API key strings, email contact objects, and invitation record structures. The server uses strict typing to ensure these move safely through your Pydantic AI pipelines.

Start using the Equinix Metal MCP today

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