How to Use the IgnitePOST MCP in Pydantic AI

Q: Can I list campaigns in Pydantic AI via IgnitePOST?

Yes, use listcampaigns. The result is validated against your schema, ensuring you only target active campaigns.

Q: Does IgnitePOST provide type-safe order lists for Pydantic AI?

Absolutely. The listorders tool outputs data that fits your models perfectly. You get a clean list of historical notes every time.

Q: What happens if IgnitePOST auth fails in Pydantic AI?

The verifyauth tool will return a validation error. Your agent stops execution before it tries to send any mail.

Type-safe physical mail automation for Pydantic AI. Ensure every handwritten note order is valid before it hits the printer.

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Connect IgnitePOST MCP to Pydantic AI

Create your Vinkius account to connect IgnitePOST 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 IgnitePOST with Pydantic AI

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Perplexity

Type-checked order retrieval

Use `get_order` to pull specific details into your Pydantic models. If the API returns unexpected data, your agent catches the validation error immediately. This prevents silent failures in your mail pipeline. Your code stays clean because the schema is validated at runtime.

Validate contacts in Pydantic AI

Call `list_contacts` to get your target list. Pydantic AI validates the contact data structure before your agent attempts a campaign trigger. This ensures your mail reaches the right person. You won't send notes to malformed records.

List stationery types with Pydantic AI

Query `list_stationeries` to see your options. The response is automatically cast to your defined Pydantic types for reliable logic. Your agent knows exactly which paper types are valid. This removes the risk of ordering unavailable stationery.

Setup guide

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

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

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

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Common questions about IgnitePOST MCP in Pydantic AI

Every MCP tool response is parsed into your Pydantic models. If the API data doesn't match your expected types, the agent throws an error.

Yes, use `list_campaigns`. The result is validated against your schema, ensuring you only target active campaigns.

Absolutely. The `list_orders` tool outputs data that fits your models perfectly. You get a clean list of historical notes every time.

The `verify_auth` tool will return a validation error. Your agent stops execution before it tries to send any mail.

Your contact data is encrypted in transit. The server requires a specific endpoint token, ensuring only your agent can access your account records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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