"How to integrate AI with browser developer console" matching MCP servers:

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

Enables AI assistants to manage Backendless applications, including databases, users, files, and API services, through natural language commands, with support for OAuth2 authentication and hosted endpoints.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Manages .ai/ workspace folder, syncs assets with a cloud service, and generates environment-specific bootstrap files for AI context management.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

A powerful MCP server for Excel operations with seamless Supabase Storage integration.

Backup AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server that lets AI assistants browse, search, and read files from a Google Drive folder, supporting local stdio and remote HTTP deployments with tools like list_files, search_files, get_file_info, and read_file.

Enables AI assistants to search, read, and query handwritten notes backed up as PDFs on Google Drive via MCP, with OAuth authentication, multi-user support, and usage metering.

Enables AI assistants to generate images using Cloudflare Workers AI models directly through the Model Context Protocol. It supports various models like Flux and Stable Diffusion, providing seamless image generation and storage via Cloudflare R2.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).

An MCP server for Datto SaaS Protection, providing tools to manage cloud backup and recovery for Microsoft 365 and Google Workspace data through Datto's API.

MCP server for reading, searching, and optionally writing data in Solid Pods via LDP/RDF with headless client-credentials authentication.

Enables a coding agent to create, list, and read ShareBit pastes over the Model Context Protocol, with no shell, filesystem, or credential-admin access.

Bridges AI agents to a gcontext workspace in the cloud, enabling file and folder management while keeping secret values and script execution local.

Reads top-level sessions from Claude Code, Codex CLI, and Grok Build, filters and anonymizes them, then writes snapshots to Google Drive for mixed semantic search, portrait retrieval, and status queries.

MCP server for Unitrends Backup — appliances, jobs, recovery points, replication, alerts

Enables seamless integration with WhatsApp through the Model Context Protocol, featuring multi-user support and Supabase cloud storage for persistent message history and media. Users can send messages, search chat records, and manage contacts across platforms like Claude Desktop, Cursor, and OpenClaw.