MCP runtime copilot for health checks, regressions, explainability, and operational memory.
{
"mcpServers": {
"io-github-kroq86-mini-data-engine": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP runtime copilot for health checks, regressions, explainability, and operational memory.
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No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 23 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Runnable Python and Rust data-system internals with an MCP-native runtime copilot layer.
This repository combines two things:
Requirements:
Setup:
python3 -m venv .venv
source .venv/bin/activate
python -m pip install "psycopg[binary]"
Run end-to-end flow:
cargo run --bin e2e_flow
Run core demos:
.venv/bin/python mini_pg_like.py
.venv/bin/python mini_databricks_clone.py
cargo run --bin mini_pg_like
cargo run --bin mini_databricks_clone
mini_pg_like.py: PostgreSQL-like toy engine with heap table, B-tree index, and planner output.mini_databricks_clone.py: Databricks-like toy platform with versioning, partitions, DAGs, and events.src/bin/mini_pg_like.rs: Rust PostgreSQL-like demo.src/bin/mini_databricks_clone.rs: Rust Databricks-like demo.src/lib.rs, src/common.rs, src/pg.rs: shared Rust core modules.mcp_engine_server.py: MCP runtime adapter for diagnostics and regression workflows.Most internals content stops at diagrams. This project stays runnable and inspectable:
This repo also includes a minimal MCP server that wraps the lab operations:
mcp_engine_server.py.cursor/mcp.jsonCurrent MCP tool list for this release (47 tools total):
Engine state and runtime:
init_engineinsert_rowupsert_rowcreate_indexexplain_customerreindex_projectrun_e2e_flowExplainability and demos:
explain_rundemo_explain_rundemo_explain_run_failuredemo_explain_semantic_failuredemo_explain_idempotency_conflictdemo_explain_concurrency_failure_stormexplain_regression_suiteTrace and retrieval:
record_tool_tracesimilar_incidentsrefresh_trace_pathrefresh_docs_pathmemory_upsertmemory_searchSLO and ROI:
health_checkbenchmark_callsscenario_load_testcapture_roi_baselinereport_drift_bugdecision_gateSchema evaluation (verdict + report via MCP, no external Postgres):
schema_load_toolschema_explain_toolschema_evaluate_toolschema_evaluate_full_toolProject contract and regression:
project_manifestproject_capabilitiesproject_tool_catalogproject_get_defaultsproject_run_regressionproject_capture_baselineproject_compare_baselineGeneric project state:
project_list_entitiesproject_get_entityproject_upsert_entityproject_delete_entityproject_append_eventproject_ingest_traceproject_explain_runproject_export_stateGeneric heuristics:
project_list_heuristicsproject_run_heuristicFor machine-readable discovery, prefer