Showing 4 open source projects for "model based testing tool"

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    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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  • 2
    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: 2 This Week
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  • 3
    FileScope MCP

    FileScope MCP

    Analyzes your codebase identifying important files based on dependency

    FileScopeMCP is a TypeScript-based tool that analyzes codebases to identify important files based on dependency relationships. It generates diagrams and importance scores per file, aiding in understanding code structure and assisting AI assistants in navigating complex projects. ​
    Downloads: 0 This Week
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  • 4
    XcodeBuildMCP

    XcodeBuildMCP

    A Model Context Protocol (MCP) server

    XcodeBuildMCP is a Model Context Protocol server that exposes Xcode operations as typed tools and resources so AI assistants can build, test, and debug iOS apps programmatically. It’s organized with a modern plugin architecture and workflow-scoped tool directories, covering common developer actions across projects, schemes, targets, simulators, real devices, and Swift packages. The server aims to be “agent-ready,” surfacing capabilities (build, clean, test, archive, install, run, log...
    Downloads: 0 This Week
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