The Model Context Protocol (MCP) is an open standard created by Anthropic to facilitate seamless integration of AI assistants with external data sources, tools, and systems. It addresses the challenge of delivering real-time, structured, and relevant information to AI models while ensuring security, privacy, and modularity.

MCP is rapidly gaining traction, transforming the way AI connects with external systems. Businesses can now use AI to manage real-time operations, drive data-informed decisions, and automate processes seamlessly. MCP acts like a universal adapter that lets AI models connect to any system using a standard method. Instead of building custom connections for every data source, MCP provides a single plug-and-play interface that any AI model can use to fetch information or execute tasks.

Check out:

  • AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
  • Brave Search - Web and local search using Brave’s Search API
  • EverArt - AI image generation using various models
  • Everything - Reference / test server with prompts, resources, and tools
  • Fetch - Web content fetching and conversion for efficient LLM usage
  • Filesystem - Secure file operations with configurable access controls
  • Git - Tools to read, search, and manipulate Git repositories
  • GitHub - Repository management, file operations, and GitHub API integration
  • GitLab - GitLab API, enabling project management
  • Google Drive - File access and search capabilities for Google Drive
  • Google Maps - Location services, directions, and place details
  • Memory - Knowledge graph-based persistent memory system
  • PostgreSQL - Read-only database access with schema inspection
  • Puppeteer - Browser automation and web scraping
  • Redis - Interact with Redis key-value stores
  • Sentry - Retrieving and analyzing issues from Sentry.io
  • Sequential Thinking - Dynamic and reflective problem-solving through thought sequences
  • Slack - Channel management and messaging capabilities
  • Sqlite - Database interaction and business intelligence capabilities
  • Time - Time and timezone conversion capabilities
  • Grafana - Search dashboards, investigate incidents and query datasources in your Grafana instance
  • Neo4j - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
  • Perplexity - An MCP server that connects to Perplexity’s Sonar API, enabling real-time web-wide research in conversational AI.
  • Stripe - Interact with Stripe API
  • Home Assistant - Interact with Home Assistant including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
  • Hyperliquid - An MCP server implementation that integrates the Hyperliquid SDK for exchange data.
  • InfluxDB - Run queries against InfluxDB OSS API v2.

Just to name a few…. get to the complete list here:

GitHub - modelcontextprotocol/servers: Model Context Protocol Servers