Analyze Amazon reviews for sentiment, pain points, VOC tagging, and listing optimization.
io.github.SolveaCX/voc-mcp Model Context Protocol (MCP) Server
The io.github.SolveaCX/voc-mcp MCP server analyzes Amazon reviews to extract sentiment, identify pain points, perform VOC (Voice of Customer) tagging, and support listing optimization. Its scope is review analysis across these categories, as described in its repository metadata and brief description.
🛠️ Key Features
Sentiment analysis for Amazon reviews
Pain point identification from review text
VOC tagging
Listing optimization guidance
🚀 Use Cases
Classify sentiment in customer feedback from Amazon reviews
Detect recurring pain points expressed by reviewers
Apply VOC tags to support customer feedback categorization
Improve product listing content using review-derived insights
⚡ Developer Benefits
Focused tooling centered on Amazon review analysis workflows
Structured outputs aligned to sentiment, pain points, VOC tagging, and listing optimization needs
⚠️ Limitations
Available details only specify Amazon review analysis and related tasks; no additional capabilities are provided in the source data.
Install a curated seven-tool VOC OpenAPI MCP server for Amazon review insights,
feedback tagging, and listing optimization in local AI clients.
Built for e-commerce operators, consumer-insights teams, product researchers,
and AI agents that need authorized review data and repeatable VOC workflows.
Usage
bash
curl -fsSL https://open.voc.ai/install.sh | bash
Windows PowerShell:
powershell
irm https://open.voc.ai/install.ps1 | iex
Alternatively, use the npm package directly:
bash
npx voc-openapi-mcp@latest setup
Codex users can also install the general-purpose VOC OpenAPI query skill:
bash
npx voc-openapi-mcp@latest setup --with-skill
The skill is written to ~/.agents/skills/voc-openapi/SKILL.md only when Codex is detected. The uninstaller removes only installer-managed versions that have not been modified by the user.
By default, the installer registers the agents detected on the local machine. It currently supports:
Claude Code (CLI; writes to ~/.claude.json)
Claude Desktop (desktop app; detects the macOS app or Windows %LOCALAPPDATA%\AnthropicClaude, writes to claude_desktop_config.json, and bridges the remote MCP server through mcp-remote)
Cursor (desktop app or CLI launcher; detects the macOS app or Windows %LOCALAPPDATA%\Programs\cursor, both using ~/.cursor/mcp.json)
Windsurf (desktop app or CLI launcher; detects the macOS app or Windows %LOCALAPPDATA%\Programs\Windsurf, both using ~/.codeium/windsurf/mcp_config.json)
Gemini CLI (writes to ~/.gemini/settings.json)
Codex (CLI and Desktop both use ~/.codex/config.toml)
This single agent request combines product and listing data, review insights, customer pain points, competitive positioning, and recommended actions. Click the image to view the full result.
Capabilities
Fetch current or historical Amazon reviews.
Analyze sentiment, pain points, and themes.
Generate listing improvements from customer feedback.
Tag feedback and product listings into structured taxonomies.
See TOOLS.md for all seven tools, input fields, credit costs, and
task-creating side effects.
Privacy, permissions, and support
The hosted server only receives the selected tool inputs and the X-API-Key
required for the authorized VOC account. The installer writes only the selected
AI client's MCP configuration and the optional VOC skill. Review
PRIVACY.md and SECURITY.md before installation.
The installer source code is licensed under the Apache License 2.0.
The hosted VOC OpenAPI service and its business capabilities remain subject to
the VOC Terms and Conditions.
Install
Remote endpoint
Streamable HTTP
Hosted server - connect over the network, no local install.