cursor-feedback-extension
Cursor Feedback is a Cursor IDE extension plus an MCP server that provides an interactive human-in-the-loop feedback step. The Cursor AI agent calls an MCP tool (interactive_feedback), the extension shows a sidebar UI to collect user feedback (text/images/files), and the MCP server returns the feedback to the agent so it can continue within the same conversation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No authentication/authorization model is described for the MCP tool/extension interactions. The workflow involves local project context (paths, images/files) and thus creates a risk of inadvertent data exposure to the AI workflow. README does not document data handling details, transport security for any HTTP API used by the extension, or whether secrets/tokens are ever logged.
⚡ Reliability
Best When
You want a lightweight, IDE-native approval/review loop for Cursor-generated outputs, including rich feedback (images/files) from the local workspace.
Avoid When
You need formal enterprise-grade security/compliance evidence, or you cannot tolerate that local project context (paths and potentially selected files/images) may be sent through the agent workflow.
Use Cases
- • Gather user approval or edits after the AI produces a work summary
- • Create a repeatable review loop inside Cursor for iterative tasks
- • Collect feedback that includes screenshots/images and referenced project file paths
- • Avoid re-consuming Cursor monthly request quota by keeping interaction in one conversation
Not For
- • Production systems requiring strict guarantees about data handling or compliance
- • Use cases that need a public REST/GraphQL API for server-to-server automation
- • Scenarios where the user cannot safely provide local file paths/images to an AI workflow
- • Environments that require high assurance of dependency/vulnerability management
Interface
Authentication
The README describes local MCP server configuration (npx/cursor-feedback@latest) and a tool interface (interactive_feedback) without any mention of authentication, API keys, or scope controls.
Pricing
No pricing information for the extension/MCP server is provided. The README references Cursor request quotas, but that is not a pricing model of this package.
Agent Metadata
Known Gotchas
- ⚠ Tool is interactive; the agent must wait for user feedback via the sidebar before continuing.
- ⚠ On timeout (default 300s), the extension/agent workflow supports auto-retry; ensure agent logic avoids duplicating work if feedback context changes.
- ⚠ Multi-window isolation is claimed; ensure the correct project_directory is provided when running across multiple Cursor windows.
Alternatives
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Scores are editorial opinions as of 2026-03-30.