10 projects
dataxplan-mcp
MCP server for dataxplan: read PostgreSQL EXPLAIN plans for AI agents (bottlenecks, estimation errors, fixes, charts).
dataxplan
Read PostgreSQL EXPLAIN plans locally: parse the plan, compute self time and estimation error, flag documented problems, compare plans, and guard them in CI. No database connection, deterministic.
revmng-mcp
MCP server for revmng: revenue-management decisions for AI agents (seat protection, overbooking, pricing, bid prices, charts).
revmng
Revenue management for Python: single-leg seat protection (Littlewood, EMSR-a/b), overbooking, pricing, network bid prices and the standard performance metrics. Computed from standard methods and validated against published worked examples.
oee-mcp
MCP server for oee: Overall Equipment Effectiveness, the six big losses and charts for AI agents.
oee
Overall Equipment Effectiveness for Python: availability, performance and quality with the full time waterfall, TEEP, and correct multi-machine roll-up. Computed from the standard definitions and validated against published examples.
finvariant-mcp
MCP server for finvariant: deterministic financial-statement integrity checks for AI agents.
finvariant
Deterministic integrity checks for financial statements: does the balance sheet balance, does the cash flow tie out, do the three statements articulate. Verifies, does not parse or build.
pmcontrols-mcp
MCP server for pmcontrols: validated project scheduling and earned value tools for AI agents.
pmcontrols
Project scheduling and earned value control for Python: CPM, PERT with Monte Carlo schedule risk, minimum-cost crashing, EVM and earned schedule, validated against published reference values.
