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  • A
    license
    Not graded
    quality
    B
    maintenance
    A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
    15
    305
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for E2B code sandbox, enabling creation, management, and execution of code in secure sandboxes using Python and shell commands.
    4
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that provides secure code execution capabilities using AWS Bedrock AgentCore's CodeInterpreter, supporting Python, JavaScript, TypeScript, shell commands, and file operations.
    10
    9 npm
    MIT
  • F
    license
    C
    quality
    D
    maintenance
    An MCP server that enables AI agents to execute terminal commands and Python code on the host system, leveraging Agent Zero's battle-tested implementation with session management and smart output handling.
    4
    -
  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables Claude AI to run terminal commands, perform file operations, and manage git in a project directory via the Model Context Protocol.
    38
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to perform local development tasks on Windows by reading and editing files, running commands, and controlling browser and desktop tools, all within isolated workspaces. Supports secure remote access via an optional tunnel for ChatGPT clients.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A secure, local-first MCP coding and computer-use harness for ChatGPT and Codex, enabling guarded file operations, durable terminals, Git review, local skills, and macOS computer control.
    142 npm
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables agent-style remote development over SSH with file operations and command execution, exposing native tools for searching, editing, and transferring files on remote machines.
    1
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    An extensible Message Communication Protocol server that provides secure code execution capabilities in isolated sandbox environments, compatible with Claude for Desktop and other MCP clients.
    17
    -
  • F
    license
    A
    quality
    D
    maintenance
    Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.
    4
    -
  • A
    license
    A
    quality
    D
    maintenance
    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
    16
    8 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.
    MIT