Model Context Protocol (MCP) Server Directory

AI agents that hardcode API keys create lateral movement risk when compromised. This FastMCP server proxies HashiCorp Vault access so agents receive short-lived, scoped credentials that auto-expire—eliminating stored secrets while maintaining audit trails for every credential access.

AI agents need access to documents, images, and data files stored in object storage—but exposing raw S3 credentials creates a catastrophic blast radius. This FastMCP MinIO server provides scoped, metadata-filtered access with presigned URLs that expire automatically, giving agents safe file access without long-lived credentials.

Enterprise knowledge trapped in Confluence costs teams 4.7 hours per week in search time. This FastMCP server exposes Confluence pages, CQL search, and space navigation to AI agents, enabling Claude Desktop and Cursor to search, read, and navigate corporate documentation autonomously.

AI agents managing cloud infrastructure need real-time access to metrics, alarms, and logs. This FastMCP server exposes Amazon CloudWatch to Claude Desktop and Cursor IDE, enabling agents to query metrics, acknowledge alarms, and search logs without leaving their workspace.

IT teams spend 2.8 hours per incident on manual ServiceNow ticket navigation. This FastMCP server exposes incident CRUD, change request workflows, and CMDB queries to AI agents, enabling autonomous incident triage and resolution directly from Claude Desktop or Cursor IDE.

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.

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.