Hightouch (Reverse ETL) MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hightouch (Reverse ETL) as an MCP tool provider through the 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 Hightouch (Reverse ETL). "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Hightouch (Reverse ETL)?"
)
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 Hightouch (Reverse ETL) MCP Server
Connect your Hightouch account to any AI agent and take full control of your Reverse ETL workflows and data synchronization through natural conversation.
LlamaIndex agents combine Hightouch (Reverse ETL) tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through the 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
- Sync Orchestration — List all data synchronization schedules and retrieve detailed metrics and schemas tied to specific syncs directly from your agent
- Run History — Extract historical execution states and success logs to monitor the performance and reliability of your sync runs
- Data Modeling — Audit SQL definitions bounding your warehouse analytics pipelines and inspect the data models driving your syncs
- Source Management — Enumerate active Data Warehouse connections and securely map inbound schemas from platforms like Snowflake or BigQuery
- Destination Audit — Identify connected SaaS nodes (Salesforce, HubSpot, Slack) receiving synchronized outbound objects from your warehouse
The Hightouch (Reverse ETL) MCP Server exposes 6 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 Hightouch (Reverse ETL) to LlamaIndex via MCP
Follow these steps to integrate the Hightouch (Reverse ETL) 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 6 tools from Hightouch (Reverse ETL)
Why Use LlamaIndex with the Hightouch (Reverse ETL) MCP Server
LlamaIndex provides unique advantages when paired with Hightouch (Reverse ETL) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hightouch (Reverse ETL) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hightouch (Reverse ETL) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hightouch (Reverse ETL), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hightouch (Reverse ETL) tools were called, what data was returned, and how it influenced the final answer
Hightouch (Reverse ETL) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hightouch (Reverse ETL) MCP Server delivers measurable value.
Hybrid search: combine Hightouch (Reverse ETL) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hightouch (Reverse ETL) 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 Hightouch (Reverse ETL) for fresh data
Analytical workflows: chain Hightouch (Reverse ETL) queries with LlamaIndex's data connectors to build multi-source analytical reports
Hightouch (Reverse ETL) MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Hightouch (Reverse ETL) to LlamaIndex via MCP:
get_sync
Get sync details
list_destinations
List all destinations
list_models
List all models
list_sources
List all sources
list_sync_runs
List sync runs
list_syncs
List all syncs
Example Prompts for Hightouch (Reverse ETL) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hightouch (Reverse ETL) immediately.
"List all my current Hightouch syncs"
"Show me the last 5 runs for sync ID 'sync-001'"
"Which data sources are connected to our Hightouch account?"
Troubleshooting Hightouch (Reverse ETL) MCP Server with LlamaIndex
Common issues when connecting Hightouch (Reverse ETL) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHightouch (Reverse ETL) + LlamaIndex FAQ
Common questions about integrating Hightouch (Reverse ETL) 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 Hightouch (Reverse ETL) 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 Hightouch (Reverse ETL) to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.