youhuanghe e8aa7b2e6d feat(box/mcp): integrate MCP stdio with Box sandbox — auto-isolation, dep install, security
## Summary

  When Podman/Docker is available, all stdio-mode MCP servers now automatically
  run inside Box containers with dependency installation, path rewriting, and
  lifecycle management. When no container runtime exists, LangBot starts normally
  and stdio MCP falls back to host-direct execution.

  ## What changed

  ### MCP stdio → Box integration (mcp.py)
  - Add `MCPServerBoxConfig` pydantic model for structured box configuration
    with validation and defaults (network, host_path_mode, timeouts, resources)
  - Auto-infer `host_path` from command/args with venv detection: recognizes
    `.venv/bin/python` patterns and walks up to the project root
  - Rewrite host paths to container `/workspace` paths transparently
  - Replace venv python commands with container-native `python`
  - Auto-detect `pyproject.toml`/`setup.py`/`requirements.txt` and run
    `pip install` inside the container before starting the MCP server
  - Copy project to `/tmp` before install to handle read-only mounts
  - Add retry with exponential backoff (3 retries, 2s/4s/8s delays)
  - Add Box managed process health monitoring (poll every 5s)
  - Fix session leak: `_cleanup_box_stdio_session()` now runs in `finally`
    block of `_lifecycle_loop`, covering all exit paths
  - Fix retry logic: `_ready_event` is only set after all retries exhaust
    or on success, not on first failure
  - Enhance `get_runtime_info_dict()` with `box_session_id` and `box_enabled`

  ### Box security (security.py — new)
  - `validate_sandbox_security()` blocks dangerous host paths:
    `/etc`, `/proc`, `/sys`, `/dev`, `/root`, `/boot`, `/run`,
    docker.sock, podman socket
  - Called at the start of `CLISandboxBackend.start_session()`

  ### Box models (models.py)
  - Add `BoxHostMountMode.NONE` — skips volume mount entirely
  - Adjust `validate_host_mount_consistency` to allow arbitrary workdir
    when `host_path_mode=NONE`

  ### Box backend (backend.py)
  - Add `validate_sandbox_security()` call in `start_session()`
  - Add `langbot.box.config_hash` label on containers for drift detection
  - Handle `BoxHostMountMode.NONE` — skip `-v` mount arg
  - Add `cleanup_orphaned_containers()` to base class (no-op default) and
    CLI implementation (single batched `rm -f` command)

  ### Box runtime (runtime.py)
  - Call `cleanup_orphaned_containers()` during `initialize()` to remove
    lingering containers from previous runs

  ### Box service (service.py)
  - Graceful degradation: `initialize()` catches runtime errors and sets
    `available=False` instead of crashing LangBot startup
  - Add `available` property and guard on `execute_sandbox_tool()`
  - Add `skip_host_mount_validation` parameter to `build_spec()` and
    `create_session()` — MCP paths are admin-configured and trusted,
    bypassing `allowed_host_mount_roots` restrictions meant for
    LLM-generated sandbox_exec commands

  ### Default behavior
  - stdio MCP servers automatically use Box when `box_service.available`
    is True (Podman/Docker detected); no explicit `box` config needed
  - When no container runtime exists, falls back to host-direct stdio
  - MCP Box defaults: `network=on` (for pip install), `read_only_rootfs=false`
    (for site-packages), `host_path_mode=ro`, `startup_timeout=120s`

  ### Tests
  - `test_box_security.py`: blocked paths, safe paths, subpath rejection
  - `test_mcp_box_integration.py`: config model, path rewriting, venv
    unwrap, host_path inference, payload building, runtime info, box
    availability check
  - `test_box_service.py`: `BoxHostMountMode.NONE` validation tests
2026-05-04 21:23:23 +08:00
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2025-09-13 09:44:18 +08:00

LangBot

LangBot - Production-grade IM bot made easy. | Product Hunt

Production-grade platform for building agentic IM bots.

Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.

English / 简体中文 / 繁體中文 / 日本語 / Español / Français / 한국어 / Русский / Tiếng Việt

Discord Ask DeepWiki GitHub release (latest by date) python GitHub stars

Website Features Docs API Cloud Plugin Market Roadmap


What is LangBot?

LangBot is an open-source, production-grade platform for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.

Key Capabilities

  • AI Conversations & Agents — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to Dify, Coze, n8n, Langflow.
  • Universal IM Platform Support — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
  • Production-Ready — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
  • Plugin Ecosystem — Hundreds of plugins, event-driven architecture, component extensions, and MCP protocol support.
  • Web Management Panel — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
  • Multi-Pipeline Architecture — Different bots for different scenarios, with comprehensive monitoring and exception handling.

→ Learn more about all features


Quick Start

LangBot Cloud — Zero deployment, ready to use.

One-Line Launch

uvx langbot

Requires uv. Visit http://localhost:5300 — done.

Docker Compose

git clone https://github.com/langbot-app/LangBot
cd LangBot/docker
docker compose up -d

One-Click Cloud Deploy

Deploy on Zeabur Deploy on Railway

More options: Docker · Manual · BTPanel · Kubernetes


Supported Platforms

Platform Status Notes
Discord
Telegram
Slack
LINE
QQ Personal & Official API
WeCom Enterprise WeChat, External CS, AI Bot
WeChat Personal & Official Account
Lark
DingTalk
KOOK
Satori

Supported LLMs & Integrations

Provider Type Status
OpenAI LLM
Anthropic LLM
DeepSeek LLM
Google Gemini LLM
xAI LLM
Moonshot LLM
Zhipu AI LLM
Ollama Local LLM
LM Studio Local LLM
Dify LLMOps
MCP Protocol
SiliconFlow Gateway
Aliyun Bailian Gateway
Volc Engine Ark Gateway
ModelScope Gateway
GiteeAI Gateway
CompShare GPU Platform
PPIO GPU Platform
ShengSuanYun GPU Platform
接口 AI Gateway
302.AI Gateway

→ View all integrations


Why LangBot?

Use Case How LangBot Helps
Customer Support Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base
Internal Tools Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes
Community Management Moderate QQ/Discord groups with AI-powered content filtering and interaction
Multi-Platform Presence One bot, all platforms. Manage from a single dashboard

Live Demo

Try it now: https://demo.langbot.dev/

  • Email: demo@langbot.app
  • Password: langbot123456

Note: Public demo environment. Do not enter sensitive information.


Community

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Star History

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Contributors

Thanks to all contributors who have helped make LangBot better:

Languages
Python 63%
TypeScript 35.5%
JavaScript 0.9%
CSS 0.4%
Shell 0.1%