Model Context Protocol (MCP) Server Directory

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.

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.

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.

Build a Structured Output MCP server using Python and FastMCP. Implement self-correcting JSON Schema validation, Pydantic v2 enforcement, and repair loops.

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.

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.

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.