WorkspaceGuard
Structured workspace runtime for long-running coding agents, providing controlled workspace capabilities with task state, snapshots, checkpoints, drift detection, verification evidence, audit logs, and structured handoff.
README
WorkspaceGuard
Structured workspace runtime for long-running coding agents.
WorkspaceGuard exposes a real local development workspace through MCP while adding the missing operational layer: task state, snapshots, checkpoints, drift detection, verification evidence, audit logs, and structured handoff.
It is host-neutral by design. ChatGPT, Claude, Gemini, Grok, and custom MCP clients should all use the same core tool contracts.
What This Is
WorkspaceGuard is not a coding model and not a hidden local agent. The MCP host does the reasoning. WorkspaceGuard provides controlled workspace capabilities:
- open an allowed workspace
- read, search, edit, and write files
- run terminal commands under policy
- inspect git status and diffs
- create snapshots and checkpoints
- detect workspace drift
- run verification and store evidence
- hand off task state across hosts or sessions
Design Docs
Recommended Build Path
Implemented in the current skeleton:
- MCP server over stdio and Streamable HTTP
- split MCP tool registration modules
- workspace allowlist and instruction loading
- canonical path containment with symlink escape tests
- file read/search/list/write/edit tools
- structured shell runner with timeout and redaction
- git status/diff helpers
- in-memory task runtime tools
- file-manifest snapshots
- checkpoint and drift MCP tools
- verification command execution and freshness checks
- append-only JSONL audit log
- failed MCP tool-call audit events
- required bearer-token and Origin helper for remote HTTP
- OAuth-dev protected resource metadata and PKCE authorization-code flow
- secure HTTP proxy for tunnel/public entrypoints
- shared runtime context across HTTP sessions
- MCP integration test using the SDK in-memory transport
Next build path:
- Add SQLite-backed state instead of in-memory registries.
- Replace OAuth-dev with production OAuth issuer integration.
- Add before/after audit envelopes for every tool call.
- Verify against ChatGPT, Claude, Gemini, and Grok host profiles.
Development
npm install
npm test
npm run build
npx tsc --noEmit
Remote HTTP security knobs:
WORKSPACEGUARD_TOKEN=long-random-token
WORKSPACEGUARD_ALLOWED_ORIGINS=https://chatgpt.com,https://example.com
WORKSPACEGUARD_TOKEN or --bearer-token is required when --transport http
is used.
ChatGPT developer-mode HTTP can use the built-in OAuth-dev profile:
WORKSPACEGUARD_OAUTH_APPROVAL_CODE=local-human-code \
workspaceguard serve \
--transport http \
--auth-mode oauth-dev \
--public-base-url https://your-tunnel.example.com \
--allowed-roots ~/work
Or keep WorkspaceGuard private on localhost and expose a separate proxy:
WORKSPACEGUARD_TOKEN=inner-local-token \
workspaceguard serve --transport http --allowed-roots ~/work
WORKSPACEGUARD_PROXY_TARGET_TOKEN=inner-local-token \
WORKSPACEGUARD_OAUTH_APPROVAL_CODE=local-human-code \
workspaceguard proxy \
--target-url http://127.0.0.1:8787/mcp \
--auth-mode oauth-dev \
--public-base-url https://your-tunnel.example.com
oauth-dev is for single-user developer-mode testing. Production deployments
should replace it with a real OAuth issuer and durable token storage.
Security Baseline
WorkspaceGuard exposes local machine capabilities. It must default to narrow filesystem roots, localhost binding, explicit remote authentication, canonical path checks, command policy, redacted logs, and auditable tool calls.
Shell and worktrees are workflow boundaries, not security sandboxes.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。