feedback-mcp
by hasna · ai-ml · mcp-server, glama
MCP server for Open Feedback, enabling AI assistants to submit, list, get, update status of, and analyze product feedback via a local HTTP API and JSONL storage.
Source: https://github.com/hasna/feedback
Install
git clone https://github.com/hasna/feedbackUse this forAI-extracted
- →Collect and manage product feedback from Claude integrations and AI-powered applications
- →Integrate feedback collection into MCP-enabled development environments
- →Route user feedback to analysis systems via CLI or API endpoints
Works with
Tags: mcp-server, glama
Source: glama
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
feedback-mcp is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install feedback-mcp?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support feedback-mcp?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is feedback-mcp free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.