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Why this server?
Enables Google search and webpage content extraction via Chrome for macOS, allowing access to both unauthenticated and authenticated content, and integrates with Claude for secure and automated browsing tasks.
Why this server?
Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
Why this server?
A Model Context Protocol server that enables AI assistants to perform Google searches and retrieve web data directly through natural language requests.
Why this server?
An MCP server that enables interaction with Google's Chronicle Security Operations suite, enabling users to search security events, get alerts, look up entities, list security rules, and retrieve IoC matches.
Why this server?
An MCP server that enables AI assistants to access and interact with Google Classroom data, allowing users to view courses, course details, and assignments through natural language commands.
Why this server?
Enables AI assistants to interact with Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.
Why this server?
An intermediary server that enables AI models to interact with Google's Blogger platform, automating the creation and management of blogs, posts, and labels through the Blogger API.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
Why this server?
Enhances the MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models.
Why this server?
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.