"Analyzing Firebase Firestore, Authentication, and Storage Configuration for a Windsurf Application" matching MCP servers:

Enables interaction with Firebase projects and services, including deployment, database management, authentication, and local emulation, through natural language.

The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Provides secure, permission-controlled access to Firebase Firestore databases with full CRUD operations, advanced queries, batch operations, and transactions through a standardized MCP interface.

A server providing a unified interface to interact with Firebase services, including Authentication, Firestore, and Storage.

A general-purpose MCP server for Firebase that enables natural language interaction with Firestore, Auth, Storage, and Cloud Functions logs through schema-driven validation and context-efficient tools.

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

Enables AI assistants to manage todo lists through natural language by creating, listing, updating, completing, and deleting tasks stored in Firebase Firestore. Supports custom system prompts for personalized task management workflows.

Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.

Enables AI applications to interact with decentralized storage through a standardized Model Context Protocol interface, allowing file uploads, retrievals, and identity management.

A local-first, open-source MCP server that analyzes jobs, matches your CV, tailors documents, and tracks applications — all on your machine with no data uploaded.

Enables AI assistants to work directly with Firebase realtime database

MCP server for end-to-end encrypted secret storage and retrieval, enabling LLM agents to fetch secrets by name via one-time URLs while keeping plaintext out of model context and logs.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables interaction with Firebase Authentication and Firestore through the MCP protocol, allowing user management and database operations via natural language. Optimized for deployment on Railway.com.

A template for building MCP servers with optional per-tool authentication using WorkOS AuthKit and Vercel MCP adapter.

A template for building MCP servers with automatic tool discovery using TypeScript and Zod schemas, supporting HTTP and STDIO transports.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.