safe-agent-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@safe-agent-mcpRunls -lain the sandbox and show me the output."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
safe-agent-mcp
A secure multi-agent MCP gateway based on DeepSeek Harness: it wraps DSH's agent execution capabilities into standard MCP tools, so any MCP client (Claude Desktop, Cursor, etc.) can call them.
What this project solves
DSH is a multi-agent framework, but its capabilities can only be used in its own interface;
MCP is a standard protocol that any client can connect to, but it has no agent capabilities of its own;
safe-agent-mcp is the bridge between the two: an MCP server that provides standard tools externally and drives DSH's agents internally (including sub-agents and the sandbox).
Related MCP server: dsh-harness-mcp-server
Features
Keyword | Implementation |
MCP | Standard MCP server ( |
Multi-Agent | (Planned in v1.1) Drive DSH sub-agent task execution via |
Sandbox/Security | (Planned in v1.2) Dangerous command interception, secret redaction, audit logs, timeout and concurrency limits |
Quick Start
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Currently implemented tools:
run_command: executes a shell command in the sandbox and returns stdout / stderr / exit code (the GBK encoding issue of cmd is handled on Windows).
Directory Structure
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)Milestones
v1.0: MCP server +
run_commandtool (smoke tests all green)v1.1:
run_agent_taskmulti-agent integration (headless bridge)v1.2: Security shell (dangerous command interception + secret redaction + audit logs)
v1.3: Web dashboard (bonus)
See docs/DEVELOPMENT.md for details.
License
Available Tools
1 toolrun_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。
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | 要执行的命令 | |
| timeout_ms | No | 超时毫秒数,默认 15000 |
TDQS
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.
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.
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.
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.
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.
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 tool update
v0.1.0- First observed
run_command
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The name 'run_command' clearly describes its function, eliminating any ambiguity.
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.
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.
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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