AI Tools

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.

AI coding agents can write code but should not blindly execute database migrations. This MCP server gives coding agents the tools to safely manage database schema changes: diff, plan, validate, and apply with automatic rollback on failure.

Bridge the gap between data engineering and AI agents. Build a Databricks MCP Server that allows agents to query Delta tables, orchestrate ETL jobs, and diagnose pipeline failures on demand.

Unlock your company's Notion knowledge base for AI agents. Build a secure, stateless MCP server using the new 2026 FastMCP SDK to enable real-time semantic search and RAG.

Transform project management with AI. Deploy a stateless Asana MCP Server that allows AI agents to triage tasks, update statuses, and query project bottlenecks in real-time.

Ship a TypeScript FastMCP server that ingests OpenTelemetry OTLP spans and gives Claude or Cursor agent-run tracing, loop detection, token-cost dashboards, and budget gates.

Stand up a Python FastMCP server around Stanford's Evo 2 foundation model so AI agents can run biosafety-gated in-silico genome analysis, sequence generation, and protein design.