Enables AI agents to query live and historical USGS water data — real-time streamflow, gage height, temperature, precipitation, turbidity and other parameters — for individual gauge sites, and to discover which gauges are actively reporting a given parameter across a US state. Runs either as a keyless local stdio server or through a hosted gateway endpoint, with daily-value time series for trends and hydrographs.
Enables AI agents to design, connect, and simulate water-handling systems from tested physical component models, with typed tools and physics-based warnings.
Enables AI agents to run deterministic database intelligence tasks including natural-language-to-SQL synthesis, AST SQL auditing and optimization, schema migration diffing, SQL transpilation, index and normalization advice, PII scrubbing, fixture generation, connection-pool sizing, isolation-hazard auditing, and ORM model compilation over Streamable HTTP or stdio.
Exposes five deterministic tools over stdio so LLM agents can evaluate all seven kill methods, plan complete well kills and CWI stripping/snubbing operations, and create or step live simulator sessions without hallucinating safety-critical pressure math. Returns kill mud weight, MAASP, stage-by-stage procedures, rig gauges, kill sheets, and graded debriefs.
Connects AI agents to the Archive of Our Own for full-filter fanfiction search, live canonical tag resolution, and work metadata lookup, and lets a cheap secondary model read up to 20 entire fics per call to return structured reports with prose samples and rankings. Can be run over stdio or hosted as a stateless Streamable-HTTP endpoint so remote clients and container deployments can reach it.