Retrieve the source code for a specific ABAP enhancement implementation by providing the enhancement spot and implementation name.
MIT
306,634 tools. Last updated 2026-07-27 03:23
"MCP feedback enhancement" matching MCP tools:
- Retrieve source code of an enhancement implementation by providing its name and the enhancement spot. Access specific ABAP enhancement source via ADT.MIT
- Collect feedback on prompt enhancement techniques to improve future responses by tracking helpfulness of applied methods.MIT
- Improve future memory retrieval by rating the helpfulness of recalled memories. Positive feedback boosts rankings, negative feedback lets them fade.MIT
- Get complete details for any feedback item, including customer information, reporter, and associated announcements or work items.MIT
- Capture feedback about gitmem including feature requests, bugs, friction points, or suggestions. Saved locally, optionally sent anonymously to improve gitmem.MIT
Matching MCP Servers
- FlicenseAqualityDmaintenanceA community-maintained fix for the MCP Feedback Enhanced server, resolving image attachment serialization, web panel 500 errors, and extending default timeout for long-running feedback sessions.Last updated2
- AlicenseCqualityAmaintenanceProvides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.Last updated3165MIT
Matching MCP Connectors
AIOProductOS spine over MCP — customers, revenue, feedback, work, analytics on one typed record.
rnv-color-mcp, a hosted color-workflow MCP server (Python, Streamable HTTP). Tools: mix (including Kubelka-Munk paint physics), convert between formats, generate harmonies, transform text case, and save/list/get named palettes. It resolves hex / CSS / custom brand color names and refuses unknown colors rather than guessing.
- Search and filter customer feedback in a LaunchNotes project by sentiment, importance, state, starred status, and more. Find specific feedback with text search.MIT
- Retrieves AI enhancement suggestions for task descriptions. Use it to refine instructions before finalizing an assignment.MIT
- Retrieve complete details of a scorecard template, including its questions, feedback ratings, and segmentation structure.MIT
- Rate the relevance of a stored memory to improve future recall quality. Submit positive or negative feedback to refine memory retrieval.MIT
- Refines existing PRDs by applying feedback to update specific sections while preserving version history.MIT
- Suggest microinteractions for UI elements by providing animation, feedback, and transition recommendations based on element type, context, and platform.MIT
- Retrieve enhancement details from DevRev by providing its unique ID to access specific part information.
- Create a new enhancement in DevRev by specifying type, name, assigned users, parent parts, and description.
- Modify existing enhancement details like name, description, dates, owners, or stage in DevRev to keep project tracking current.
- Retrieve WhatsApp AI agent conversation logs and feedback to analyze performance and improve customer interactions.MIT
- Provide feedback on an Ava answer to help improve the quality of future responses.MIT
- Fetch the complete payload and event history for a specific feedback trace by providing its UUID.MIT
- Submit detailed feedback about issues encountered while using Partle to help maintainers improve the service.Apache 2.0
- Retrieve a single feedback comment on a campaign, including its full text and metadata such as author and timestamps. Use with campaign and feedback IDs to access specific collaboration comments.MIT