Add feedback-synthesis-mcp — customer feedback synthesis for LLM products#403
Open
sapph1re wants to merge 2 commits intotensorchord:mainfrom
Open
Add feedback-synthesis-mcp — customer feedback synthesis for LLM products#403sapph1re wants to merge 2 commits intotensorchord:mainfrom
sapph1re wants to merge 2 commits intotensorchord:mainfrom
Conversation
Author
|
Friendly bump — this has been open for ~16 days with no feedback. Happy to adjust the description or section placement if needed. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Adding feedback-synthesis-mcp to the LLMOps section.
What it does: Customer feedback synthesis API specifically designed for LLM product developers. Aggregates feedback from GitHub Issues, Hacker News, and App Store RSS, then synthesizes pain points, sentiment trends, and feature requests. Exposed as an MCP server for direct integration with AI development workflows.
Why it belongs in LLMOps:
Please let me know if a different section would be a better fit.