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"Google Vertex AI Platform" matching MCP servers:

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    Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
    20
    46
    87
    MIT
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    Connects MCP clients directly to a live Godot editor, enabling AI assistants to build scenes, edit nodes, and control the editor through over 120 operations.
    45
    1,848
    MIT
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    MCP server for searching Google Fonts and generating complete CSS/Tailwind typographic systems with font pairings and modular scales.
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    9
    MIT
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    Analyze and generate robots.txt files with AI crawler awareness. Fetch any site's robots.txt, detect which AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are blocked or allowed, and generate optimized robots.txt with toggle controls for 20+ AI crawlers.
    5
    MIT
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    MCP server for the Google Tag Manager API v2, enabling natural-language management of containers, workspaces, tags, triggers, variables, and publishing. It handles OAuth authentication and built-in rate limiting for the strict GTM API quota.
    19
    391
    MIT
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    Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.
    14
    2
    MIT
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    MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.
    1
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    An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
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    Sends messages to Google Chat via webhooks with automatic Markdown to Cards V2 conversion, supporting headers, lists, code blocks, tables, and images with validation and fallback handling.
    3
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    1
    MIT
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    Enables automation of Google Jules AI coding assistant through task creation, code review automation, repository management, and AI-powered development workflows. Supports multiple session modes including cloud deployment with persistent authentication.
    13
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    Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.
    8
    MIT
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    An MCP server for automating Google Jules that enables seamless integration for task creation, code analysis, and AI-powered development workflows. It supports multiple session modes including Browserbase and cookie-based authentication for both local and cloud environments.
    13
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    MIT
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    A TypeScript Model Context Protocol server that integrates with Google Tasks API, allowing users to create, list, update, delete, and toggle completion status of tasks.
    4
    7
    MIT
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    Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.
    1
    3
    MIT
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    Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
    3
    9
    MIT
  • F
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    Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.
    6