Obenan Review Analyzer
About
An MCP server for analyzing product or service reviews.
Details
- Author
- azhar-obenan
- Categories
- Other
- Tags
- #analytics, #data-analysis, #customer-ops, #business-operations
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Setup
Install Obenan Review Analyzer in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/azhar-obenan/review-analyzer-mcp-server
Follow the installation instructions in the repository README, then restart your MCP client.
An MCP server for analyzing product or service reviews.
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
[TODO: Add configuration details specific to your implementation]
On MacOS:~/Library/Application\ Support/Claude/claude_desktop_config.jsonOn Windows:%APPDATA%/Claude/claude_desktop_config.json
To prepare the package for distribution:
This will create source and wheel distributions in thedist/directory.
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:--tokenorUV_PUBLISH_TOKEN
- Or username/password:--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using theMCP Inspector.
You can launch the MCP Inspector vianpmwith this command:
npx @modelcontextprotocol/inspector uv --directory /Users/AhmedUmerAnees/code/obenan-mcp-server run obenan-mcp-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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