How do I find my Hexomatic API Key?

Log in to your Hexomatic account and navigate to the **Integrations** or **API** section in your settings. You will be able to generate and copy your unique API key from there.

Can I run a specific workflow via the AI agent?

Yes! Use the `run_workflow` tool by providing the unique workflow ID. You can also pass runtime parameters (like a list of URLs to scrape) as a JSON string in the `body_json` parameter.

How do I access the data scraped by a workflow?

Once a workflow execution is complete, use the `get_workflow_results` tool with the workflow ID to retrieve the scraped data in a structured format.

Is the integration secure for managing automation data?

Absolutely. The integration uses official Hexomatic API keys over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

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

Name: Hexomatic
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Hexomatic through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hexomatic": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Hexomatic, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Hexomatic through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Hexomatic MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Hexomatic via MCP

Why Use LangChain with the Hexomatic MCP Server

LangChain provides unique advantages when paired with Hexomatic through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Hexomatic MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Hexomatic queries for multi-turn workflows

Hexomatic + LangChain Use Cases

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

RAG with live data: combine Hexomatic tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Hexomatic, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Hexomatic tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Hexomatic tool call, measure latency, and optimize your agent's performance

Hexomatic MCP Tools for LangChain (11)

These 11 tools become available when you connect Hexomatic to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hexomatic + LangChain FAQ

Common questions about integrating Hexomatic MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.