Hexomatic MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hexomatic as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Hexomatic. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Hexomatic?"
)
print(response)
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.
LlamaIndex agents combine Hexomatic tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Hexomatic MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Hexomatic MCP Server
LlamaIndex provides unique advantages when paired with Hexomatic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hexomatic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hexomatic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hexomatic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hexomatic tools were called, what data was returned, and how it influenced the final answer
Hexomatic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hexomatic MCP Server delivers measurable value.
Hybrid search: combine Hexomatic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hexomatic to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hexomatic for fresh data
Analytical workflows: chain Hexomatic queries with LlamaIndex's data connectors to build multi-source analytical reports
Hexomatic MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Hexomatic to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Hexomatic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHexomatic + LlamaIndex FAQ
Common questions about integrating Hexomatic MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.