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safe-agent-mcp

Sicheres Multi-Agent-MCP-Gateway basierend auf DeepSeek Harness: Es kapselt die Agent-Ausführungsfähigkeiten von DSH in standardisierte MCP-Tools, sodass jeder MCP-Client (Claude Desktop, Cursor usw.) sie aufrufen kann.

Was dieses Projekt löst

  • DSH ist ein Multi-Agent-Framework, aber seine Fähigkeiten können nur in der eigenen Oberfläche genutzt werden;

  • MCP ist ein Standardprotokoll, das jeder Client anbinden kann, hat aber selbst keine Agent-Fähigkeiten;

  • safe-agent-mcp ist die Brücke zwischen beiden: ein MCP-Server, der nach außen Standard-Tools bereitstellt und nach innen die Agents von DSH steuert (einschließlich Sub-Agents und Sandbox).

Related MCP server: dsh-harness-mcp-server

Funktionen

Schlüsselwort

Implementierung

MCP

Standard-MCP-Server (@modelcontextprotocol/sdk), Plug-and-Play für jeden MCP-Client

Multi-Agent

(geplant für v1.1) Steuert DSH-Sub-Agents über dsh --profile headless zur Aufgabenausführung

Sandbox/Sicherheit

(geplant für v1.2) Blockierung gefährlicher Befehle, Schlüssel-Maskierung, Audit-Logs, Timeout- und Parallelitätsbegrenzungen

Schnellstart

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

Derzeit implementierte Tools:

  • run_command: Führt einen Shell-Befehl in der Sandbox aus und gibt stdout / stderr / Exit-Code zurück (unter Windows wird das GBK-Kodierungsproblem von cmd behandelt).

Verzeichnisstruktur

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)

Meilensteine

  • v1.0: MCP-Server + run_command-Tool (Smoke-Tests alle grün)

  • v1.1: run_agent_task Multi-Agent-Anbindung (Headless-Brücke)

  • v1.2: Sicherheitshülle (Blockierung gefährlicher Befehle + Schlüssel-Maskierung + Audit-Logs)

  • v1.3: Web-Dashboard (Bonus)

Siehe docs/DEVELOPMENT.md.

License

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。

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.

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