Model Context Protocol (MCP) Server Directory

Agent commerce needs programmable payment infrastructure. This FastMCP server exposes Stripe Connect's marketplace APIs to AI agents, enabling autonomous vendor onboarding, split payment orchestration, and real-time revenue tracking — all through the Model Context Protocol.

AI agents need observability data to make intelligent operational decisions. This FastMCP server exposes Grafana dashboards, alert rules, and time-series metrics to Claude and Cursor, enabling agents to self-diagnose performance issues and trigger incident response autonomously.

Agents need structured data access to manage projects, track tasks, and coordinate workflows. This FastMCP Python server exposes Airtable's full CRUD API to Claude and Cursor, enabling agents to read, create, update, and search records autonomously through the Model Context Protocol.

Multi-agent systems need reliable event coordination without a centralized orchestrator. This FastMCP Redis Streams server gives agents publish, consume, and acknowledge capabilities with consumer groups that guarantee exactly-once processing across agent fleets of any scale.

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.