WorkspaceGuard
Click on "Install 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., "@WorkspaceGuardCreate a snapshot of the current workspace and check for drift."
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.
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
Related MCP server: TTG Scratchpad MCP Server
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 --noEmitRemote HTTP security knobs:
WORKSPACEGUARD_TOKEN=long-random-token
WORKSPACEGUARD_ALLOWED_ORIGINS=https://chatgpt.com,https://example.comWORKSPACEGUARD_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 ~/workOr 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.comoauth-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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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