Showing 5 open source projects for "source testing unit testing"

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  • 1
    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: 2 This Week
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  • 2
    Genkit

    Genkit

    An open source framework for building AI-powered apps

    Genkit is an open-source framework developed by Firebase for building AI-powered applications using familiar code-centric patterns. It simplifies the development, integration, and testing of AI features, providing observability and evaluation tools, and supports various models and platforms for versatile AI application development. ​
    Downloads: 3 This Week
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  • 3
    MCP Chat

    MCP Chat

    Open Source Generic MCP Client for testing & evaluating mcp servers

    mcp-chat is an open-source, generic command-line interface (CLI) client designed for testing and evaluating Model Context Protocol (MCP) servers and agents. It allows users to interact with various MCP servers, facilitating seamless communication with AI models. The tool supports both interactive and direct prompt modes, enhancing flexibility in user interactions. ​
    Downloads: 0 This Week
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  • 4
    MCP Server Simulator iOS IDB

    MCP Server Simulator iOS IDB

    Enables LLMs to interact with iOS simulators

    The MCP Server Simulator for iOS IDB provides a bridge between Large Language Models (LLMs) and iOS simulators, offering comprehensive control through natural language commands. It enables operations such as launching apps, interacting with the UI, and retrieving device information, enhancing the capabilities of AI-driven development tools. ​
    Downloads: 0 This Week
    Last Update:
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  • 5
    Codex MCP Server

    Codex MCP Server

    MCP server wrapper for OpenAI Codex CLI

    Codex MCP Server is an open-source integration tool that allows AI development environments to access the capabilities of the OpenAI Codex command-line interface through the Model Context Protocol. The project acts as a bridge between AI assistants such as Claude Code and the Codex CLI, enabling those assistants to perform advanced coding operations using Codex as a backend engine. Through this architecture, developers can request tasks such as code explanation, refactoring, or analysis...
    Downloads: 5 This Week
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