Top 10 MCP Servers

Anthropic recently launched Model Context Protocol - a standardized protocol that governs how models can interact with local and remote sources

Here's a list of production-ready and experimental MCP servers you can access for database connections, cloud, and infra, Content, productivity tools, etc.

Data and storage MCP server

1. PostgreSQL Relational Databases (Reference)

PostgreSQL is a robust relational database solution offering read-only access and schema inspection capabilities. It integrates seamlessly with existing PostgreSQL setups, making it an excellent choice for applications requiring reliable database interactions.

Key Features: Schema inspection, robust integration.
Use Cases: Enterprise applications, reporting tools.

See other data and storage MCP servers

Cloud & Infrastructure MCP Server

2. Cloudflare Edge Computing (Official)

Cloudflare’s platform enables rapid deployment of edge computing solutions, enhancing content delivery and security.

Key Features: Low-latency computing, global distribution.
Use Cases: Content delivery, secure edge applications.

See other cloud and infrastructure MCP servers

Development Tools MCP Server

3. GitHub Repository Management (Reference)

Automate GitHub repository tasks with API integrations for smarter workflows.

Key Features: Automated tasks, seamless API integration.
Use Cases: Repository management, collaborative coding workflows.

4. Raygun (Official)

Integrate Raygun for real-time error monitoring and performance tracking, providing actionable insights to improve user experiences.

Key Features: Real-time error tracking, crash reporting, and performance monitoring.
Use Cases: Application error monitoring, performance optimization, bug tracking.

Content and search MCP server

5. Search1API (official)

Unified API for optimized search, crawling, and sitemap management, improving search-related tasks with intelligent context handling.

Key Features: Unified API, fast search, real-time data indexing.
Use Cases: Search functionality, data crawling, web management.

6. Google Maps (Reference)

Integrate Google Maps for enhanced map search and location data handling.

Key Features: Context-aware geolocation, route optimization, dynamic maps.
Use Cases: Location-based services, route planning, geographic data management.

See other content and search MCP servers here

AI & Memory MCP Server

7. Qdrant Vector Search (Official)

Vector search engine designed for semantic memory and machine learning use cases, enabling efficient similarity search across data.

Key Features: High-performance vector search, machine learning integration.
Use Cases: Semantic search, recommendation systems, AI-driven applications.

See other AI & Memory MCP Servers here

Productivity MCP Server

8. Slack Team Chat (Reference)

Integrate Slack with context-driven AI models to enhance team chat and collaboration through automation and smarter messaging.

Key Features: Context-aware messaging, AI integration.
Use Cases: Team communication, automated task management, collaboration.

9. Google Drive File Management (Reference)

Google Drive Offers intelligent access, file management, and search within Google Drive, improving collaboration with context-aware AI support.

Key Features: File management, context-based search, AI-enhanced access.
Use Cases: Collaborative file management, document search.

See other Productivity MCP Servers here

System & Utilities MCP Server

10. Windows CLI Command Line (Community)

Boosts Windows CLI functionality by integrating AI-driven automation, making command-line operations more efficient and context-aware.

Key Features: Command automation, context-aware suggestions.
Use Cases: System administration, workflow automation.

See other systems and utilities MCP server here