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How to Use the SmartLead MCP in Pydantic AI

Validate and manage marketing actions with Pydantic AI's strict control over the SmartLead MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

SmartLead MCP on Cursor AI Code Editor MCP Client SmartLead MCP on Claude Desktop App MCP Integration SmartLead MCP on OpenAI Agents SDK MCP Compatible SmartLead MCP on Visual Studio Code MCP Extension Client SmartLead MCP on GitHub Copilot AI Agent MCP Integration SmartLead MCP on Google Gemini AI MCP Integration SmartLead MCP on Lovable AI Development MCP Client SmartLead MCP on Mistral AI Agents MCP Compatible SmartLead MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Pydantic AI

Connect SmartLead MCP to Pydantic AI

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

GDPR Included with Plan

Key Capabilities

Manage Outreach Campaigns via MCP Server

Your agent needs to know if a campaign is running or not. Use `get_campaign` to grab full details, or check performance with `get_campaign_analytics`. The Pydantic AI framework guarantees that the data structure returned by SmartLead is exactly what you expect. You can also pause things for review using `pause_campaign`, ensuring a clean and type-safe execution flow.

Add Leads and View Target Lists

Feeding new contacts into SmartLead is simple. Your agent executes `add_lead` to input data, and the Pydantic validation ensures the payload structure is correct before sending it. Need a list of targets? Use `list_leads`. The response will always validate against your defined schema, so you never get corrupted or unexpected fields.

Monitor SmartLead Account Status

Managing credentials is crucial for high-volume outreach. Call `list_email_accounts` to see all available sending accounts in SmartLead. Additionally, use `list_campaigns` to get a structured list of every active campaign. The type safety means you know exactly what kind of data structure your agent is working with.

Setup guide

Set up SmartLead MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "smartlead-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent SmartLead 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 SmartLead. 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 SmartLead MCP in Pydantic AI

The MCP Server allows the Pydantic framework to validate every response from SmartLead. This means if the API sends back bad data, your agent fails loudly with a clear validation error.
The server manages contact records and account credentials. Specifically, it handles `leads` information, including names, emails, and engagement status that your agent uses for outreach campaigns through SmartLead.
Yes. The server exposes `list_campaigns`. Your agent calls this tool, and because of the type safety, you get a predictable data structure containing all campaign details.
You call `get_campaign_analytics`. This provides concrete metrics. The benefit is that the response is always validated against your schema, so you can trust the numbers immediately.
It does. Use `list_email_accounts` to see all available credentials managed by SmartLead. This ensures that when your agent runs campaigns, it has reliable access to rotation details.

Start using the SmartLead MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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