mcp-hybrid-data-engine
Supports DuckDB as a columnar analytics backend for Flow plane data queries and aggregations.
Supports Milvus as a vector database backend for Light plane semantic search.
Supports OpenAI as an embedding provider for Light plane semantic indexing.
Enables read-only SQL queries against SQLite databases in the Stone legacy data plane.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-hybrid-data-engineSemantic search for 'customer churn' and show top 3 results with scores"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-hybrid-data-engine
The Memory Hub.
An MCP server implementing the Vibe Leading Hybrid Data Engine — the integration of the three data planes described in Vibe Leading The AI:
Plane | Role | This server | Production backend |
Stone | Legacy SQL / Oracle, fact ledger |
| Oracle / Postgres + CDC |
Light | Vector semantic context |
| Pinecone / Milvus + embeddings |
Flow | Analytical columnar for the HUD (milliseconds) |
| DuckDB / Parquet |
Installation
npm install -g mcp-hybrid-data-engine
# or run directly without installing:
npx mcp-hybrid-data-engineRelated MCP server: MCP RAG Server
Client configuration
Add to your MCP client config (e.g. Claude Code .mcp.json or Cursor mcp.json):
{
"mcpServers": {
"hybrid-data-engine": {
"command": "npx",
"args": ["mcp-hybrid-data-engine"]
}
}
}Tools
Tool | Description | Key args |
| Read-only SQL against a SQLite file (Stone) |
|
| CDC version + changed-tables heuristic | — |
| Add a doc to the semantic index (Light) |
|
| Ranked cosine-similarity matches |
|
| Store columnar rows for analytics (Flow) |
|
| sum/avg/min/max/count with optional grouping |
|
Environment variables
Variable | Default | Purpose |
|
| SQLite file used by The Stone |
|
| Persistence file for The Light index |
|
| Persistence file for The Flow store |
Notes
Stone: read-only by design. Statement prefixes are validated; anything outside SELECT/PRAGMA/WITH/EXPLAIN is rejected. The
stone_cdc_tickreports a coarse WAL-based heuristic — a production deployment should wire a real CDC adapter (Debezium + Oracle) behind the same surface.Light: uses a deterministic bag-of-character-ngrams hashed-vector embedding with cosine similarity. Swap in a real embedding provider (OpenAI / voyage) and a real vector DB (Pinecone / Milvus) behind the
Embedderinterface insrc/vector-store.ts.Flow: an in-memory columnar store persisted to JSON. See
src/analytics-engine.tsfor the interface that a DuckDB / Parquet backend would implement.
License & Attribution
MIT — Copyright (c) 2026 Jean Machuca (see LICENSE).
This server implements concepts from the book Vibe Leading The AI: The Corporate Race Against Machines by Jean Machuca (ISBN 9798252505008, © 2026 Jean Machuca). The book is copyrighted commercial material; this repository does not republish its text. Buy the book at https://vibeleading.org or https://a.co/d/04L5YatK. Author website: jeanmachuca.com · Support on GitHub Sponsors: github.com/sponsors/jeanmachuca. See NOTICE.
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