• Streamline Azure Security with Palo Alto Networks VM-Series Icon
    Streamline Azure Security with Palo Alto Networks VM-Series

    Centrally manage physical and virtualized firewalls with Panorama

    Improve your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
    Learn more
  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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  • 1
    MCP Server MySQL

    MCP Server MySQL

    A Model Context Protocol server

    A Model Context Protocol server that provides access to MySQL databases, enabling Large Language Models to inspect database schemas and execute SQL queries, facilitating seamless database interactions. ​
    Downloads: 0 This Week
    Last Update:
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  • 2
    MCP Claude Code

    MCP Claude Code

    MCP implementation of Claude Code capabilities and more

    The MCP Claude Code server implements Claude Code-like functionality, allowing AI assistants to directly execute instructions for modifying and improving project files. It leverages the Model Context Protocol for seamless integration with various MCP clients. ​
    Downloads: 0 This Week
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  • 3
    OctoMind MCP

    OctoMind MCP

    An MCP server for octomind tools, resources and prompts

    The Octomind MCP Server is designed to integrate Octomind's end-to-end testing tools and resources into local development environments. It enables AI-powered interfaces to create, execute, and manage e2e tests, enhancing the testing workflow. ​
    Downloads: 0 This Week
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  • 4
    Gradle MCP Server

    Gradle MCP Server

    A Model Context Protocol (MCP) server

    The Gradle MCP Server is a Model Context Protocol implementation that enables AI tools to interact programmatically with Gradle projects. It uses the Gradle Tooling API to query project information and execute tasks, facilitating seamless integration with AI-driven development tools. ​
    Downloads: 0 This Week
    Last Update:
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  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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  • 5
    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: 0 This Week
    Last Update:
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  • 6
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. ...
    Downloads: 2 This Week
    Last Update:
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