Let your agent work from real user feedback.
Gleam is designed for teams shipping with Cursor, Codex, Claude Code, and other coding agents. MCP tools and Gleam Skills turn feedback, requester context, roadmap status, and follow-up work into structured context your agent can read, act on, and update from your editor.
The agent starts from the user signal.
Gleam turns feedback, requester context, and status changes into structured context your coding agent can read.
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76 votes · 7 linked reports
Crash reports need automatic device context
3 affected builds
Improve feature
Code changes use the original request as context.
Prepare follow-up
Status, reply, update, and affected users stay in sync.
Notify users
People attached to the request are ready for follow-up.
MCP and Skills
Give your coding agent the product context it is missing.
Agents can write code quickly, but they need the right customer signal. Gleam MCP tools expose that signal as structured product context, while Gleam Skills give your coding agent repeatable workflows for triage, implementation, replies, and status updates.
MCP tools for feedback
Expose feedback, requester context, comments, votes, roadmap links, and status changes as structured MCP-readable data.
Gleam Skills for implementation
Give Cursor, Codex, and Claude Code product-aware instructions before they triage or adjust the feature.
Agent-led user follow-up
After work is done, use the same workflow to update status, draft the user reply, prepare the changelog, and sync affected users.
Agent scenario
Fix, ship, and prepare the user follow-up from your editor.
A practical flow: your agent uses Gleam MCP to pull matching feedback, reads the affected users and requested behavior, follows the Gleam Skill for implementation, patches the code, writes a changelog draft, updates status, and prepares replies for the people who asked for it.
See feedback workflowSee the user signal
New feedback, comments, votes, and related user information stay visible as structured product context.
Let AI read it
The agent uses MCP to read the original request, related feedback, requester context, status history, and acceptance notes.
Optimize the feature
It follows the Gleam Skill and uses that context to adjust the product behavior instead of working from an isolated issue title.
Prepare the follow-up
When the fix is ready, the agent updates status, drafts the reply, and keeps affected users ready to notify.
Best practices
Make feedback easy for agents to trust.
The better your feedback data is shaped, the more useful your agent becomes. Keep the workflow simple, explicit, and close to the work your team is already shipping.
Keep statuses simple: New, Planned, In progress, Shipped, Closed.
Merge duplicates before assigning work so the agent sees one source of truth.
Use tags for product areas, platforms, and customer impact instead of long freeform notes.
Let agents draft user-facing replies, then keep human review for sensitive or high-stakes messages.
Attach shipped updates to the original feedback so every requester can be notified.
Treat MCP actions as workflow primitives: read, reason, change code, update Gleam, prepare follow-up.
Start with structured feedback