Mis MCPs favoritos para programar más rápido con IA

Summary

The video introduces MCPs (Model Context Protocol) as a way to connect AI coding assistants to external services through APIs. Instead of only answering questions, an AI can retrieve information from services or make changes there. The presenter recommends using a small number of MCPs for specific tasks, since they can increase token usage or cause unnecessary project changes.

MCPs demonstrated

• Notion MCP: Connects coding assistants such as Cursor or Claude Code to Notion. In the demo, the AI reviews a codebase, creates a prioritized list of development tasks in a Notion database, and then uses a task’s URL to retrieve details and work on it. Linear is mentioned as a more team-oriented alternative for shared tickets and project work.

• GitHub MCP: The presenter describes GitHub’s MCP server as a way to work with repositories, issues, Actions, and pull requests. In the example, an AI refactors a file, creates a branch, and opens a pull request for review before the changes are merged.

• TestSprite: An AI-integrated testing service that analyzes a project and generates and runs tests without requiring the developer to write them manually. The demo configures it for a local frontend project, provides login credentials and a product requirements document, then reviews the generated test results in a dashboard. The dashboard shows which tests passed or failed and includes a recording of the bot interacting with the application. The generated test files can also be inspected.

• Context7: Supplies AI assistants with current documentation, which can help when a model’s training data is out of date. The example checks a Next.js project against newer documentation; the presenter notes a change from a middleware file to a proxy file in the version discussed. Using documentation context can consume more tokens.

The video also mentions other possible integrations, including Netlify for deployment, Asana and Atlassian tools for project management, Canva for graphics, and services such as Figma, PayPal, Stripe, and Supabase.

Guide and practical advice

This is an overview with demonstrations, not a complete step-by-step tutorial for every MCP. It shows portions of setup and use, and the presenter says more detailed individual guides may follow. The main advice is to choose MCPs based on actual needs rather than installing many: they may use extra tokens and sometimes make more changes than necessary.

A brief sponsor segment promotes a hosting platform for deploying web projects, databases, and backend servers, but the subtitles do not clearly capture its name or pricing.

Main speaker/source: The presenter from Fazt Code. References include the documentation and dashboards for Notion, GitHub, TestSprite, and Context7.