Same MCP endpoint for every host. Generate a try token on the homepage to copy ready-made config.
ChatGPT
Remote MCP or REST
Add ReviseMy as a remote MCP connector (or Custom GPT Action for REST). Use the MCP URL and Bearer token from your try token — ChatGPT’s UI takes those fields, not a full JSON paste. When the host supports MCP Apps, the review can render inline; otherwise the agent shares a `review_url` link.
- In ChatGPT, open Settings → Connectors (or Custom GPT → Actions for REST)
- Add a remote MCP connector named revisemy
- Paste the MCP URL and Authorization: Bearer {try_token}
- Paste a starter prompt asking it to run create_review and follow next_action
Run a ReviseMy design checkup on the work I just changed. Use create_review with the right source (screenshots, public URL + capture_url, email HTML, or PDF), share the review_url if you get one, wait for my marks, then poll get_review and follow next_action until I approve.
Claude
Inline (Desktop) · Link (Code)
Claude Desktop can render the review inline via MCP Apps. Use Settings → Developer → Edit Config with the mcp-remote JSON (Bearer try tokens do not fit Connectors → Add custom connector, which is OAuth-oriented). Claude Code is CLI-only and shares a `review_url` instead.
- Desktop: Settings → Developer → Edit Config, merge the mcp-remote JSON, quit and reopen Claude
- Claude Code: run `claude mcp add --transport http …` with your try token
- Paste a starter prompt (or use design_checkup_loop) and mark / approve on Desktop inline or via review_url on Code
Run a ReviseMy design checkup on the work I just changed. Call create_review with the right source. Open the review inline if available, otherwise give me the review_url. Wait for my marks, then follow next_action until I approve. Prefer the design_checkup_loop prompt if available.
Copilot
Inline MCP Apps
Paste or merge the servers JSON into Copilot MCP settings (user or workspace mcp.json). After create_review, the review renders inline in Copilot Chat so you can mark and approve without leaving the editor.
- Open Copilot → MCP
- Paste the try-token Copilot config from the homepage under servers
- Paste a starter prompt asking Copilot to call create_review and open the review inline
Run a ReviseMy design checkup on the work I just changed. Call create_review with the right source (screenshots, public URL + capture_url, email HTML, or PDF). Open the review inline so I can mark and approve, then follow next_action until I’m done. Prefer the design_checkup_loop prompt if available.
Cursor
Link via review_url
Cursor agents use MCP tools in the IDE. After create_review, the agent shares a review_url — open it in the browser to mark feedback and approve. No inline MCP Apps UI in Cursor yet; the loop is the same.
- Open Cursor Settings → MCP
- Paste mcpServers JSON (or merge into ~/.cursor/mcp.json)
- Paste a starter prompt asking the agent to call create_review and share the review_url
Run a ReviseMy design checkup on the work I just changed. Call create_review with the right source (screenshots as data URLs for localhost, or public URL + capture_url). Give me the review_url to mark and approve, then poll get_review and follow next_action until I approve. Prefer the design_checkup_loop prompt if available.
Grok
Custom connector · Link
Add ReviseMy as a custom MCP connector at grok.com/connectors. Paste the MCP URL and Bearer Authorization header (not the full JSON). After create_review, open the review_url to mark and approve (link workflow).
- Go to grok.com/connectors → New Connector → Custom
- Paste the public MCP URL and authorize with the Bearer token
- Paste a starter prompt asking Grok to call create_review and share the review_url
Run a ReviseMy design checkup on the work I just changed. Call create_review with the right source, give me the review_url to mark and approve, then poll get_review and follow next_action until I approve.