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  • A
    license
    Not graded
    quality
    C
    maintenance
    Gives a coding agent its own Docker-hosted Linux desktop with XFCE, Chromium, Blender, LibreOffice, GIMP and a sudo shell, exposing tools for screenshots, mouse and keyboard input, window focus, shell commands, file read/write, opening URLs or GUI apps, and headless Blender renders. The agent can watch and drive that desktop live from a browser while working on the shared project folder.
    20 npm
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables offline AI agent automation with embedded local LLM (Qwen 2.5), sandboxed file operations through AgentFS, and dynamic skill loading. Exposes capabilities via MCP with tri-state safety guards for private, air-gapped environments without network connectivity or API costs.
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  • A
    license
    A
    quality
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    maintenance
    Enables code execution in isolated Docker containers with persistent IPython, Node.js, or R kernels, supporting file import/export and cross-session transfers via MCP tools.
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An advanced MCP server that provides an agentic interface to Google's Gemini 3.1 models via Vertex AI, combining real-time Google Search, URL analysis, and Python code execution to solve complex multi-step research and data tasks.
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides workspace-scoped file operations and command execution tools for building Cursor-style agents, along with system prompts and tool definitions for LLM integration.
    5
    38 PyPI
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables MCP clients to control the local Codex CLI, including running and resuming agent sessions, forking, code review, applying diffs, and generating images, with background execution for long-running tasks.
    18
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.
    9
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.
    2
    43 npm
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables AI coding agents to run Kubernetes inspection and Terraform plan/apply operations inside ephemeral gVisor-sandboxed jobs with short-lived, narrowly-scoped credentials, while routing destructive changes through a human approval gate.
    3
    -
  • A
    license
    A
    quality
    B
    maintenance
    Provides a ready-to-run stdio server scaffold that agents can launch via npx without installing anything, bundled into a single file with an example tool, strict tool-schema checks, tests, and bilingual documentation. It gives developers a consistent foundation for building, validating, and shipping new MCP servers that agent-kit can execute directly.
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server wrapping DeepSeek's agent harness tools into minimal/standard modes, enabling persistent shell, file editing, search, job management, and more via natural language.
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to inspect and control running 3ds Max scenes across versions 2016–2025, including object queries, property edits, object creation and deletion, screenshots, file import/export, and MAXScript execution. It also provides API discovery and local documentation search to help verify available classes and properties before scripting.
    15
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug
    2
    MIT