How to Use the Amplemarket MCP in Pydantic AI

Build type-safe sales agents with Pydantic AI and the Amplemarket MCP Server.

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Connect Amplemarket MCP to Pydantic AI

Create your Vinkius account to connect Amplemarket 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 Amplemarket with Pydantic AI

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Claude

Perplexity

Type-safe lead automation for Pydantic AI

Every response from `list_lead_lists` is validated against your Pydantic models. If the data looks wrong, the agent stops immediately. This prevents bad lead records from entering your sequences. You get reliable, typed data for every contact operation.

Rigorous contact search

Your agent searches for prospects using `search_people` and verifies them with `find_person`. The Pydantic AI runtime enforces strict field requirements. It catches missing information before it ruins your sequence logic. You spend less time debugging and more time refining your outreach.

Actionable sales signals

Use `trigger_custom_signal` to fire off events. The model-agnostic nature of this setup ensures your signals work regardless of your backend. `add_leads_to_sequence` confirms the action was successful by returning validated data. You know exactly when a lead hits your pipeline.

Setup guide

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

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

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

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Common questions about Amplemarket MCP in Pydantic AI

Install the slim package and initialize an MCPToolset with your server URL. Pass this into your agent to enable tool access.

Yes. Every tool output is checked against your defined models. If the API returns unexpected fields, the agent throws a validation error.

We use a hardened V8 sandbox. Your API keys are managed by Vinkius and the transport is encrypted.

It does. Because the server is model-agnostic, you can connect your local agent to the API without issue.

They exist only in transit. The server process is ephemeral and clears all B2B prospect data as soon as the tool execution finishes.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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