3 MCP servers I actually use daily (and how to set them up)
A developer built three distinct Model Context Protocol (MCP) servers to expose different data sources and APIs to AI assistants. One server provided read-only access to a booking app's database, another audited website performance and SEO using external APIs, and a third monitored deployment statuses across DevOps platforms. The developer found the web audit server particularly useful for identifying and fixing issues on their own portfolio and SaaS sites, such as long meta descriptions and missing Open Graph tags. Another developer highlighted three MCP servers they use daily: one for accessing project files, another for interacting with GitHub repositories, and a third for querying PostgreSQL databases, emphasizing the ease of setup and potential risks of the filesystem server. AI
IMPACT Enables AI assistants to interact with real-world data and systems, expanding their utility beyond text generation.