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Google Custom Search Server

An mcp server for searching against google custom search api

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Enables Claude to interact with Google Docs to list, read, create, search, and update documents in a user's Google Drive. It provides a suite of tools and prompts for document management and content analysis using OAuth 2.0 authentication.

A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.

Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.

Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.

Enables AI agents to efficiently access and process Google Drive documents by converting them to markdown and offering selective content extraction. Features intelligent caching, advanced search capabilities, and respect for Drive permissions to optimize context window usage.

This MCP server integrates with Google Drive to allow listing, reading, and searching over files.

MCP server for searching images with Google

Enables LLM clients to convert addresses to coordinates (forward geocoding), coordinates to addresses (reverse geocoding), and lookup Google Place IDs using the Google Maps Geocoding API with support for multiple languages and advanced filtering.

Provides 14 comprehensive tools for geocoding, navigation, and visual mapping using Google Maps APIs. It also offers detailed environmental data including weather forecasts, air quality indices, and solar irradiance for location-based analysis and trip planning.

This server enables users to programmatically scrape and access Google Maps reviews through a Multi-Agent Conversation Protocol interface to the Apify API.

Model Context Protocol (MCP) server that provides AI assistants with advanced web research capabilities, including Google search integration, intelligent content extraction, and multi-source synthesis.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

Google Researcher MCP server enables AI assistants like Claude, GPT, and other LLMs to: Search the web via Google (general, images, news) Read any webpage including JavaScript-rendered sites Extract YouTube transcripts automatically Parse documents (PDF, DOCX, PPTX)

Enables academic research through Google Scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries.

An MCP Server that provides access to Google's Search Console API, allowing users to interact with website search performance data and manage search presence through natural language.

Read-only MCP server for Google Search Console: performance queries, URL inspection, indexing checks, sitemaps, and one-call HTML SEO audit reports.

Enables querying Google Search Console and Google Analytics 4 data to retrieve search performance and site analytics. It provides tools for listing web properties and running detailed reports using secure Google OAuth authentication.