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Hexomatic MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Hexomatic "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
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About Hexomatic MCP Server

Connect your Hexomatic account to any AI agent and take full control of your web scraping and no-code automation workflows through natural conversation.

Pydantic AI validates every Hexomatic tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

  • Workflow Oversight — List all automation workflows, retrieve detailed configurations, and monitor their active status.
  • Run Automations — Manually trigger workflow executions and pass runtime variables like target URLs directly from the chat.
  • Scraping Insights — List point-and-click scraping recipes and retrieve output data from completed executions.
  • Execution Logs — Access detailed logs for any workflow run to troubleshoot or audit automation steps.
  • Built-in Automations — Browse 100+ ready-to-use automations, including Tech Stack Discovery and Email Finding.
  • Usage Monitoring — Instantly check your account's automation credits and current plan usage.

The Hexomatic MCP Server exposes 11 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Hexomatic to Pydantic AI via MCP

Follow these steps to integrate the Hexomatic MCP Server with Pydantic AI.

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 11 tools from Hexomatic with type-safe schemas

Why Use Pydantic AI with the Hexomatic MCP Server

Pydantic AI provides unique advantages when paired with Hexomatic 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 Hexomatic 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 Hexomatic connection logic from agent behavior for testable, maintainable code

Hexomatic + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Hexomatic MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Hexomatic to Pydantic AI via MCP:

01

get_account_usage

Retrieve current plan usage and automation credits

02

get_execution_logs

Retrieve the execution logs for a specific workflow

03

get_workflow_details

Get detailed configuration for a specific workflow

04

get_workflow_results

Retrieve the output data from a completed workflow execution

05

list_account_teams

List teams and collaborators

06

list_automations

List all built-in Hexomatic automations (e.g., Tech Stack Discovery)

07

list_scraping_recipes

List all point-and-click scraping recipes

08

list_workflows

Use this to identify the ID of the workflow you want to run. List all automation workflows in your Hexomatic account

09

run_workflow

You can pass runtime variables like input URLs as a JSON string in "body_json". Manually trigger an execution of a workflow

10

search_workflows

Search for workflows by name or title

11

update_workflow_status

Activate or deactivate a workflow

Example Prompts for Hexomatic in Pydantic AI

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

01

"List all active automation workflows."

02

"Show me the results from the latest 'Tech Stack Discovery' run."

03

"Run workflow ID 'hex_5501' with the target URL 'https://vinkius.com'."

Troubleshooting Hexomatic MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hexomatic + Pydantic AI FAQ

Common questions about integrating Hexomatic 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 Hexomatic MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Hexomatic to Pydantic AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.