How to Use the Skylink MCP in Pydantic AI

Q: Can I list all deals using Skylink and Pydantic AI?

Yes. You call listdeals. Every deal record returned is validated against the expected structure, giving you complete confidence in the dataset.

Q: What kind of data does Skylink touch when using Pydantic AI?

This server touches Task data. The createtask and listtasks tools manage assignments, ensuring that all fields—like due date and assigned user—are correctly typed.

Q: How can I verify system connectivity using Skylink and Pydantic AI?

Run checkskylinkstatus. This confirms the connection to the MCP Server is live, which means your agent's next operation will receive correctly formatted data.

Q: What data types can I retrieve using Skylink and Pydantic AI?

The server handles Contact data. Tools like getcontact pull structured contact details, meaning you get clean, predictable fields every time.

Ensure data integrity in sales automation with Pydantic AI and the MCP Server.

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Connect Skylink MCP to Pydantic AI

Create your Vinkius account to connect Skylink to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Skylink with Pydantic AI

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Manage leads precisely using MCP Server

The `create_lead` tool allows you to log a new prospect, validating every field against your defined schema. Later, when the lead changes status, calling `update_lead` ensures that the transition data is type-safe and correct. If your agent needs to review past interactions, it uses `get_lead_timeline`. Because of Pydantic AI's validation, you'll always receive a structured record, never a corrupted field.

View account details with Pydantic AI

To get basic information on an account, call `get_account`. This ensures the returned JSON structure is perfect before your agent processes it. It's all about correctness. Additionally, you can list multiple deals using `list_deals`, and every single record will pass validation checks when received by your system.

Audit calls and activities with Pydantic AI

Start by getting details on a single call via `get_call`. The structured output means you can trust the data immediately. Your agent also needs to see everything that happened, which it gets from `list_activities`. Don't forget about tasks; use `create_task` and then `list_tasks`. This guarantees that every assignment is logged with all necessary fields present.

Setup guide

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

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

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

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Common questions about Skylink MCP in Pydantic AI

Pydantic AI enforces type safety on every single MCP Server response. If the API sends unexpected data, your agent fails loudly with a validation error; it never processes bad data.

Yes. You call `list_deals`. Every deal record returned is validated against the expected structure, giving you complete confidence in the dataset.

This server touches Task data. The `create_task` and `list_tasks` tools manage assignments, ensuring that all fields—like due date and assigned user—are correctly typed.

Run `check_skylink_status`. This confirms the connection to the MCP Server is live, which means your agent's next operation will receive correctly formatted data.

The server handles Contact data. Tools like `get_contact` pull structured contact details, meaning you get clean, predictable fields every time.

Use it with your favorite AI tools

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