Retrieve source code of an enhancement implementation by providing its name and the enhancement spot. Access specific ABAP enhancement source via ADT.
MIT
615,184 tools. Updated 2026-09-27 01:16
"MCP feedback enhancement" matching MCP tools:
- Retrieve the source code for a specific ABAP enhancement implementation by providing the enhancement spot and implementation name.Apache 2.0
- Collect feedback on prompt enhancement techniques to improve future responses by tracking helpfulness of applied methods.MIT
- Generate diagnostic issue reports for Home Assistant MCP errors or agent feedback. Provides pre-filled templates with logs, suggested titles, and submission links.MIT
- Report bugs, friction, or ideas about the okraPDF PDF MCP server. Provide detailed feedback with workflow, run, and document identifiers to aid triage.MIT
- Get complete details for any feedback item, including customer information, reporter, and associated announcements or work items.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceMCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.413 PyPIMIT
- AlicenseAqualityBmaintenanceA cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.24MIT
Matching MCP Connectors
Synthesize GitHub Issues, HN and App Store reviews into ranked pain clusters. Pay-per-call x402.
- FeedbackOAuth
Capture feature requests and bug reports from chat into a searchable, AI-categorized backlog.
- Search and filter customer feedback in a LaunchNotes project by sentiment, importance, state, starred status, and more. Find specific feedback with text search.MIT
- List user feedback items from Mapbox Feedback API with filtering, sorting, and pagination. Access reported issues, suggestions, and ratings about map data, routing, and POI details.MIT
- Retrieve a project's attributable timeline—human work, external agents, builds, versions, feedback, pins—with explicit actor kinds. Never confuse agent actions with human authorizations.MIT
- Submit quality feedback after tool invocation, reporting accuracy, usefulness, and completion to improve scores and help agents choose better tools.MIT
- Retrieves AI enhancement suggestions for task descriptions. Use it to refine instructions before finalizing an assignment.MIT
- List page-anchored feedback for project versions, showing attribution to humans or external agents. Optionally include resolved feedback.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
- Submit structured feedback for a prior scoring request to refine healthcare claims assessments and improve future predictions.MIT
- Make a review decision on project feedback: resolve or reopen a saved item by supplying its project and feedback IDs.MITDestructive
- Retrieve normalized eBay seller feedback summaries, detailed ratings, and recent review cards from public seller feedback pages.MIT
- Retrieve enhancement details from DevRev by providing its unique ID to access specific part information.MIT
- Create a new enhancement in DevRev by specifying type, name, assigned users, parent parts, and description.MIT
- Modify existing enhancement details like name, description, dates, owners, or stage in DevRev to keep project tracking current.MIT
- Retrieve WhatsApp AI agent conversation logs and feedback to analyze performance and improve customer interactions.MIT