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    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

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  • 1
    The Web MCP

    The Web MCP

    A powerful Model Context Protocol (MCP) server

    Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data.
    Downloads: 0 This Week
    Last Update:
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  • 2
    MCP Server RAG Web Browser

    MCP Server RAG Web Browser

    A MCP Server for the RAG Web Browser Actor

    The MCP Server for the RAG Web Browser Actor allows AI assistants and LLMs to perform web searches and extract information from web pages. It facilitates interaction with the web, enabling up-to-date context retrieval for AI applications. ​
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    MCP Server Playwright

    MCP Server Playwright

    MCP server for browser automation using Playwright

    An MCP (Model Context Protocol) server that leverages Playwright to provide browser automation capabilities, enabling large language models (LLMs) to interact with web pages, take screenshots, and execute JavaScript within a real browser environment. ​
    Downloads: 4 This Week
    Last Update:
    See Project
  • 4
    MCP WebResearch

    MCP WebResearch

    MCP web research server (give Claude real-time info from the web)

    The MCP Web Research Server is a Model Context Protocol server designed to bring real-time web information into AI applications like Claude, facilitating efficient research on any topic. ​
    Downloads: 0 This Week
    Last Update:
    See Project
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    Ship AI Apps Faster with Vertex AI

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  • 5
    Firecrawl MCP Server

    Firecrawl MCP Server

    Adds powerful web scraping and search to Cursor and Claude

    ...Because it’s an MCP server, clients get typed inputs/outputs and standardized error handling rather than ad-hoc prompt instructions. The repository is active, widely starred, and includes quick starts that make it easy to add web research to an agent stack.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 6
    Deep Research

    Deep Research

    Use any LLMs (Large Language Models) for Deep Research

    ...It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. It offers MCP server support and SSE APIs, so IDEs and agent clients can drive the same workflow programmatically. The result is a repeatable process for scoping questions, collecting evidence, and producing a concise report with citations and reasoning steps.
    Downloads: 3 This Week
    Last Update:
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  • 7
    BrowserTools MCP

    BrowserTools MCP

    Monitor browser logs directly from Cursor

    ...It can capture console/network logs, DOM snapshots, and screenshots, and expose them as typed resources the agent can query or act on. The design aims to make IDE agents (e.g., Cursor, Claude Desktop) more “web-aware,” enabling workflows like reproducing a bug, collecting evidence, and proposing fixes without copy-pasting. Documentation and community guides outline a quick setup, including the extension, the MCP server process, and common troubleshooting steps. The project is actively maintained, with public commit activity and discussions around connectivity and reliability in different IDEs. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 8
    MCP Shrimp Task Manager

    MCP Shrimp Task Manager

    Shrimp Task Manager is a task tool built for AI Agents

    ...The server exposes typed tools so clients can create tasks, link prerequisites, record progress, and enforce writing or coding standards for consistent output. It ships with a web/GUI experience and works smoothly inside MCP-capable IDEs, making it useful as both a personal organizer and a programmable task substrate for software projects. Stars, registry listings, and docs point to active usage across the MCP community. The result is a practical “task brain” that agents can query and evolve over time.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    AgentQL MCP

    AgentQL MCP

    Model Context Protocol server that integrates AgentQL's data

    The AgentQL MCP Server is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities, enabling users to extract structured data from web pages using natural language prompts. ​
    Downloads: 0 This Week
    Last Update:
    See Project
  • Run Any Workload on Compute Engine VMs Icon
    Run Any Workload on Compute Engine VMs

    From dev environments to AI training, choose preset or custom VMs with 1–96 vCPUs and industry-leading 99.95% uptime SLA.

    Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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