How to Use the Aimtell MCP in Pydantic AI
Validate every push campaign and subscriber update at runtime with Pydantic AI type safety.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Aimtell MCP to Pydantic AI
Create your Vinkius account to connect Aimtell 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 subscriber data with Pydantic AI
`get_subscriber_details` fetches metadata for a specific user and parses it into strict Python models. If the API returns unexpected fields or malformed data, your agent catches the validation error instantly. This rigorous runtime checking prevents corrupt data from polluting your downstream systems. You write cleaner code because the framework guarantees the structure of every subscriber record.
Track campaign metrics with type safety
`get_campaign_performance` returns push campaign statistics that conform exactly to your defined schemas. Your agent uses these typed metrics to make decisions about which campaigns need adjustments. The MCP Server handles the raw API communication while the framework ensures the response matches your expectations. You avoid silent failures where a missing field breaks your reporting logic.
Run API campaigns with zero schema drift
`list_api_campaigns` lists your active developer-triggered push notifications and validates them against strict types. This MCP setup ensures your agent always works with current, valid campaign IDs. Since the framework is model-agnostic, you can swap your underlying LLM from OpenAI to Anthropic without changing your validation logic. Your push workflows remain stable regardless of the model you choose.
Set up Aimtell 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": {
"aimtell-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Aimtell tools.",
)
result = await agent.run("List recent Aimtell 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 Aimtell. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Aimtell MCP in Pydantic AI
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