AI Tools

ML teams waste 40% of engineering time rebuilding feature pipelines that already exist. This FastMCP TypeScript server wraps Feast and Redis to expose real-time and batch features to AI agents via MCP, enabling Claude Desktop and Cursor to query feature vectors, detect drift, and trigger retraining — all with sub-5ms P99 latency.

Data analysts spend 60% of their time rediscovering which dbt models exist and how they connect. This FastMCP TypeScript server exposes the dbt Semantic Layer to AI agents, enabling Claude Desktop and Cursor to query metrics, trace lineage, validate models, and trigger incremental runs — reducing data transformation cycle time from days to minutes.

Engineers waste 30% of their time searching for the right dataset, checking its freshness, and understanding its schema. This FastMCP Python server aggregates metadata from Snowflake, BigQuery, dbt, and Git into a unified catalog, enabling AI agents to discover, understand, and validate data assets through a single MCP interface — cutting data discovery from hours to seconds.

Mental health crises require immediate, accurate detection. This MCP server gives AI agents the ability to analyze text patterns for crisis indicators and connect users with appropriate resources.

Climate risk assessment requires processing satellite imagery, weather data, and historical patterns. This MCP server gives AI agents real-time access to climate risk data for property, supply chain, and investment analysis.

Law firms process thousands of contracts monthly. This MCP server gives AI agents the ability to parse legal documents, extract key clauses, identify risks, and compare terms across contracts — turning legal review from hours into seconds.

Financial statement auditing is manual, slow, and error-prone. This MCP server gives AI agents the ability to parse financial statements, detect anomalies, calculate ratios, and flag compliance issues — making audit procedures 10x faster.

The design-to-code handoff is the biggest bottleneck in frontend development. This MCP server gives AI agents direct access to Figma designs for automated component generation, style extraction, and design system compliance.

AI agents need to understand time. This MCP server gives agents calendar awareness: check availability, create events, optimize schedules, and prepare meeting briefs from calendar context.

Computer-use agents need governed tools for GUI interaction. This MCP server gives AI agents the ability to capture screenshots, detect UI elements, and execute click/type/scroll actions on any visible application.

AI agents produce unstructured text that downstream systems cannot parse reliably. This MCP server gives agents the tools to validate, format, and enforce structured output against JSON schemas before returning results.

Clinical decision support is one of the highest-value applications of AI in healthcare, but it requires governed tool access that respects patient privacy. This MCP server gives any clinical AI agent the tools it needs: symptom differential analysis, drug interaction checking, clinical guideline retrieval, and patient risk scoring with structural HIPAA guards.