Skip to main content
Glama

safe-agent-mcp

Безопасный мультиагентный MCP-шлюз на основе DeepSeek Harness: оборачивает возможности выполнения агентов DSH в стандартные инструменты MCP, позволяя любому MCP-клиенту (Claude Desktop, Cursor и т.д.) вызывать их.

Что решает этот проект

  • DSH — это мультиагентный фреймворк, но его возможности доступны только в его собственном интерфейсе;

  • MCP — это стандартный протокол, к которому может подключиться любой клиент, но сам по себе он не имеет агентных возможностей;

  • safe-agent-mcp — мост между ними: MCP-сервер, который предоставляет стандартные инструменты наружу, а внутри управляет агентами DSH (включая субагентов и песочницу).

Related MCP server: dsh-harness-mcp-server

Возможности

Термин

Реализация

MCP

Стандартный MCP-сервер (@modelcontextprotocol/sdk), работает с любым MCP-клиентом из коробки

Мультиагентность

(планируется в v1.1) запуск задач субагентов DSH через dsh --profile headless

Песочница/безопасность

(планируется в v1.2) блокировка опасных команд, маскирование секретов, журналы аудита, ограничения по таймауту и конкурентности

Быстрый старт

npm install
npm run smoke     # 自动化冒烟测试(协议握手 + 工具调用)
npm run inspect   # 打开 MCP Inspector 可视化调试

Текущие реализованные инструменты:

  • run_command: выполняет одну shell-команду в песочнице и возвращает stdout / stderr / код выхода (в Windows решена проблема кодировки GBK для cmd).

Структура каталога

src/index.ts        # MCP 服务器入口
tests/smoke.mjs     # 冒烟测试
docs/DEVELOPMENT.md # 开发文档(架构、里程碑、开发日志)

Вехи

  • v1.0: MCP-сервер + инструмент run_command (все смоук-тесты зелёные)

  • v1.1: интеграция мультиагентности через run_agent_task (headless-мост)

  • v1.2: защитная оболочка (блокировка опасных команд + маскирование секретов + журналы аудита)

  • v1.3: веб-дашборд (бонус)

Подробнее см. docs/DEVELOPMENT.md.

Лицензия

MIT

Available Tools

1 tool
run_commandA

在沙箱中执行一条 shell 命令,返回 stdout、stderr 和退出码。注意:command 只填命令本身(如 echo hello),不要传 JSON 包装。

ParametersJSON Schema
NameRequiredDescriptionDefault
commandYes要执行的命令
timeout_msNo超时毫秒数,默认 15000

TDQS

A4.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the return payload (stdout, stderr, exit code) and the sandbox context, which implies isolation. However, it does not mention potential side effects (e.g., resource usage, network access) or whether the command runs with any restrictions. Since annotations are absent, more behavioral detail would be helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, consisting of one main clause and one clarifying note. It avoids unnecessary detail and is well-structured for quick comprehension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool’s simplicity and lack of output schema, the description adequately explains the return format and provides usage guidance. It does not cover edge cases like error handling or timeouts beyond the schema’s timeout parameter, but for a basic shell execution tool this is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already defines both parameters with descriptions, providing 100% coverage. The description adds a meaningful note about the command parameter (not JSON-wrapped), which supplements the schema without redundancy. Thus a score slightly above baseline is warranted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool executes a shell command in a sandbox, with a specific verb and resource. It also provides an example command, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Despite no sibling tools, the description includes a direct usage guideline: instructing the user to provide only the command itself without JSON wrapping. This clarifies the expected input format and preempts common misuse.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedrun_command

TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion between tools. The name 'run_command' clearly describes its function, eliminating any ambiguity.

Naming Consistency5/5

The single tool follows a consistent verb_noun pattern ('run_command'). There are no other tools to create inconsistency, so the naming is perfectly consistent.

Tool Count3/5

The server has only one tool, which feels thin for a typical tool set. While it may cover the core purpose of safe command execution, the surface is minimal and could benefit from additional related tools.

Completeness5/5

The server's stated purpose is to execute shell commands in a sandbox, and 'run_command' fully covers this operation by returning stdout, stderr, and exit code. No obvious gaps exist for the intended scope.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables LLM clients to execute shell commands safely through the MCP protocol, with features like session management, safe mode, and process control.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Exposes DeepSeek Harness agent capabilities as an MCP server, letting any MCP client drive Harness to execute real coding tasks with structured results, context isolation, and parallel execution.
    83 npm
    13
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes opencode's coding agent and shell as MCP tools, enabling MCP-only AI clients to execute shell commands, manage files, and run agent sessions with async job handling.
    11 npm
    MIT