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Skylink MCP Server for Pydantic AIGive Pydantic AI instant access to 22 tools to Check Skylink Status, Create Contact, Create Deal, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Skylink through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The Skylink MCP Server for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 22 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Skylink "
            "(22 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Skylink?"
    )
    print(result.data)

asyncio.run(main())
Skylink
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Skylink MCP Server

Empower your AI agents to completely manage your real estate pipeline using the Skylink CRM platform. With 22 robust tools spanning CRM and VoIP operations, your AI can now programmatically organize leads, analyze call logs, manage complex deals, and evaluate agent performance.

Pydantic AI validates every Skylink tool response against typed schemas, catching data inconsistencies at build time. Connect 22 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Create, update, and filter real estate leads
  • Manage the entire deal and contact lifecycle
  • Access comprehensive call logs and VoIP analytics
  • Track agent activity and performance metrics
  • View full lead interaction timelines
  • Assign and monitor team tasks

Who is it for?

Specifically built for real estate brokerages, property managers, and high-volume sales teams needing intelligent CRM automation and telephony integration.

The Skylink MCP Server exposes 22 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 22 Skylink tools available for Pydantic AI

When Pydantic AI connects to Skylink through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, deal-tracking, call-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check skylink status on Skylink

Verify connectivity

create

Create contact on Skylink

Create a contact

create

Create deal on Skylink

Create a deal

create

Create lead on Skylink

Create a lead

create

Create task on Skylink

Create a task

get

Get account on Skylink

Get account info

get

Get agent performance on Skylink

Get agent performance

get

Get call on Skylink

Get call details

get

Get call analytics on Skylink

Get call analytics

get

Get contact on Skylink

Get contact details

get

Get deal on Skylink

Get deal details

get

Get lead on Skylink

Get lead details

get

Get lead timeline on Skylink

Get lead timeline

list

List activities on Skylink

List activities

list

List calls on Skylink

List all calls

list

List contacts on Skylink

List all contacts

list

List deals on Skylink

List all deals

list

List leads on Skylink

List all leads

list

List leads by status on Skylink

Filter leads by status

list

List tasks on Skylink

List tasks

update

Update deal on Skylink

Update a deal

update

Update lead on Skylink

Update a lead

Connect Skylink to Pydantic AI via MCP

Follow these steps to wire Skylink into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 22 tools from Skylink with type-safe schemas

Why Use Pydantic AI with the Skylink MCP Server

Pydantic AI provides unique advantages when paired with Skylink through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Skylink integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Skylink connection logic from agent behavior for testable, maintainable code

Skylink + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Skylink MCP Server delivers measurable value.

01

Type-safe data pipelines: query Skylink with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Skylink tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Skylink and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Skylink responses and write comprehensive agent tests

Example Prompts for Skylink in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Skylink immediately.

01

"List all new leads in Skylink that haven't been contacted yet."

02

"Show all deals in the 'negotiation' stage in Skylink with their values."

03

"Show agent performance metrics in Skylink for this month."

Troubleshooting Skylink MCP Server with Pydantic AI

Common issues when connecting Skylink to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Skylink + Pydantic AI FAQ

Common questions about integrating Skylink MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Skylink MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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