Hexomatic MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hexomatic integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Hexomatic with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Hexomatic tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Hexomatic and output structured, schema-compliant notifications
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:
get_account_usage
Retrieve current plan usage and automation credits
get_execution_logs
Retrieve the execution logs for a specific workflow
get_workflow_details
Get detailed configuration for a specific workflow
get_workflow_results
Retrieve the output data from a completed workflow execution
list_account_teams
List teams and collaborators
list_automations
List all built-in Hexomatic automations (e.g., Tech Stack Discovery)
list_scraping_recipes
List all point-and-click scraping recipes
list_workflows
Use this to identify the ID of the workflow you want to run. List all automation workflows in your Hexomatic account
run_workflow
You can pass runtime variables like input URLs as a JSON string in "body_json". Manually trigger an execution of a workflow
search_workflows
Search for workflows by name or title
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.
"List all active automation workflows."
"Show me the results from the latest 'Tech Stack Discovery' run."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHexomatic + Pydantic AI FAQ
Common questions about integrating Hexomatic MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Hexomatic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
