How to Use the Hologram.io MCP in Pydantic AI
Build type-safe Hologram.io cellular automation workflows with Pydantic AI and real-time validation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hologram.io MCP to Pydantic AI
Create your Vinkius account to connect Hologram.io 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.
Validate Hologram.io cellular data using Pydantic AI
The `get_device_details` and `list_iot_devices` tools provide the raw metadata that Pydantic AI validates against strict schemas for your Hologram.io fleet. This MCP Server ensures every piece of device metadata is validated against strict Pydantic models before your code processes it. If the Hologram.io API changes its response structure, Pydantic AI raises a validation error immediately. You get clean, predictable data structures instead of unexpected runtime crashes in your production code.
Monitor cellular usage with type-safe telemetry
The `get_billing_cycle_usage` and `get_daily_usage_stats` tools track Hologram.io fleet metrics without worrying about type casting or missing fields in your Pydantic AI agent. The server exposes these endpoints to feed clean numeric data directly to your agent. You can also trace connection history using `get_recent_data_sessions` within your Pydantic AI pipeline. Because every response is validated, your agent can safely calculate billing averages and trigger automated alerts.
Manage SIM connection states with absolute safety
The `pause_sim_data` and `unpause_sim_data` tools manage cellular connection states with absolute safety inside your Pydantic AI workflows. Your agent can safely execute these destructive commands using validated inputs, preventing typos in SIM IDs. You can also query `list_sim_cards` and `list_available_data_plans` to audit plan assignments for your Hologram.io fleet. The strict type checking in Pydantic AI ensures you never pass an invalid plan ID to the network.
Set up Hologram.io 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"hologramio-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Hologram.io tools.",
)
result = await agent.run("List recent Hologram.io transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hologram.io. 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 Hologram.io MCP in Pydantic AI
Use it with your favorite AI tools
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