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⇱ MCP servers for full-stack development, DevOps, Supabase, QA, and AI agent orchestration | Glama

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MCP servers for full-stack development, DevOps, Supabase, QA, and AI agent orchestration

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  • Why this server?

    Essential for full-stack development, as it enables autonomous Next.js tasks including project scaffolding, React component generation, and API route creation, directly addressing the user's primary stack.

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    Enables AI assistants to automate Next.js development including project scaffolding, React component generation, API route creation, and full-stack application workflows with TypeScript and Tailwind CSS support.
    Last updated
    MIT

  • Why this server?

    The most comprehensive match for the 'Supabase / Postgres' requirement, offering 54+ tools for database CRUD, migrations, RLS, Edge Functions, and overall project management related to the user's backend stack.

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    Enables comprehensive management of self-hosted or cloud Supabase instances with 54+ tools for database operations, authentication, storage, real-time subscriptions, migrations, monitoring, and security auditing.
    Last updated
    7

  • Why this server?

    Highly relevant for 'QA & reliability,' providing 50+ specialized functions for browser automation, web interaction, and E2E testing using Playwright, crucial for stabilizing a web application.

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    Enables comprehensive browser automation and web interaction through Playwright with 50+ specialized functions for navigation, form filling, data extraction, and Chrome DevTools Protocol support. Designed specifically for AI agents to perform complex web workflows including scraping, testing, and automated browsing tasks.
    Last updated
    17
    1
    Apache 2.0

  • Why this server?

    Directly supports 'QA & reliability' by enabling automated Google Lighthouse performance, accessibility, and SEO audits, ensuring the entrepreneurial application maintains high quality and speed.

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    Enables AI models to perform Google Lighthouse website performance analysis, including Core Web Vitals, accessibility, SEO audits, and actionable optimization recommendations. Provides comprehensive web performance insights through natural language interactions.
    Last updated
    1,273
    3
    MIT

  • Why this server?

    Crucial for 'DevOps / CI-CD / deployment' for an open-source project, covering comprehensive GitHub operations including repository management, pull requests, and file handling necessary for release management.

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    Enables comprehensive interaction with the GitHub API, including file operations, repository management, issue tracking, pull request workflows, and advanced search functionality across code, issues, and users.
    Last updated
    151,770
    MIT

  • Why this server?

    Directly addresses the 'DevOps' and 'Next.js' stack by managing deployments, DNS records, environment variables, and overall operations on the Vercel platform.

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    A powerful Model Context Protocol (MCP) server enabling seamless Vercel project management, including deployments, domains, environment variables, and team configurations through Cursor's Composer or Codeium's Cascade.
    Last updated
    1,406
    62
    MIT

  • Why this server?

    Supports the core goal of 'Agent orchestration' by managing multi-model workflows and parallel execution, which is essential for building a robust and responsive AI agent engine.

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    Orchestrates multiple AI agents to process complex queries by intelligently splitting tasks, executing them in parallel, and synthesizing results using local Ollama LLM inference.
    Last updated

  • Why this server?

    Enables local Retrieval-Augmented Generation (RAG) capabilities, forming the basis for 'long-term memory' and providing context-aware responses, essential for improving the reliability and quality of AI answers.

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    A TypeScript MCP server that allows querying documents using LLMs with context from locally stored repositories and text files through a RAG (Retrieval-Augmented Generation) system.
    Last updated
    4
    17

  • Why this server?

    Perfectly fits the 'Automation business' requirement by allowing the AI core to manage, create, and execute n8n automation workflows, easily linking internal and external services via webhooks.

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    Enables AI assistants to manage n8n automation workflows through natural language commands, including creating, executing, monitoring, and organizing workflows with full CRUD operations and execution management.
    Last updated
    121
    2
    MIT