What are MCP Servers

Model Context Protocol (MCP) servers are standardized interfaces that enable AI models to connect with external data sources, APIs, and tools. This directory contains 596 MCP servers that extend AI capabilities beyond basic text generation to include real-time data access, tool integration, and system automation.

Technical Capabilities

• Database connectivity for PostgreSQL, MySQL, SQLite, and other databases
• API integrations with popular services like GitHub, Slack, Google Drive, AWS
• File system access for document processing and content management
• Web scraping and data extraction from websites and APIs
• Email automation and communication platform integrations
• Development tools for code generation, testing, and deployment
• Analytics and monitoring capabilities for business intelligence

Server Categories

• Research & Data Analytics: Data processing, analysis, and visualization tools
• Technical Operations: Development, deployment, and infrastructure management
• Marketing & Sales: CRM integration, lead management, campaign automation
• Customer Support: Helpdesk integration, ticket management, knowledge bases
• Finance & Operations: Payment processing, invoicing, workflow automation
• Legal & Compliance: Document management, contract analysis, regulatory tools

Implementation Information

Each MCP server includes GitHub repository links, setup instructions, configuration requirements, and compatibility information. Most servers are open-source and can be self-hosted or deployed to cloud platforms. Integration guides and documentation are provided for each server.

Target Users

Developers, AI engineers, system integrators, and technical teams building AI-powered applications that need to connect with external systems and data sources.