Analyze authorized Amazon reviews, identify customer themes, tag feedback, and improve product listings through VOC tools.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by VOC OpenAPI MCP.
The VOC OpenAPI MCP MCP server gives AI clients access to VOC's Amazon review and feedback capabilities through the Model Context Protocol. It is intended for e-commerce operators, product researchers, consumer-insights teams, and agents working with authorized VOC account data.
The available workflows cover current and historical Amazon review retrieval, sentiment analysis, customer pain points, recurring themes, listing improvement suggestions, and structured tagging. Feedback and product listings can be organized into taxonomies for repeatable analysis. The repository describes seven curated tools for catalog inspection and evaluation, while the hosted endpoint exposes the published VOC OpenAPI tool set.
The hosted MCP endpoint is https://open.voc.ai/mcp-server, and the configured server name is voc-openapi. Requests use the X-API-Key authentication header. Browser authorization is the default flow: the installer opens VOC's authorization page, waits for sign-in and approval, and then configures detected clients. If a browser cannot open, it prints the authorization URL for manual use.
An API key can be supplied instead through the setup command or the VOC_OPENAPI_API_KEY environment variable. The service receives the selected tool inputs and the credential needed for the authorized VOC account. Review the project's privacy and security documentation before sending production data.
The VOC OpenAPI MCP MCP server provides shell and PowerShell installers, as well as an npm setup command. The shell installer is available at https://open.voc.ai/install.sh; the PowerShell version is available at https://open.voc.ai/install.ps1. The npm setup command is npx voc-openapi-mcp@latest setup.
By default, setup detects supported clients and updates their MCP configuration in place. Supported clients listed by the project include Claude Code, Claude Desktop, Cursor, Windsurf, WorkBuddy, Gemini CLI, and Codex. Configuration locations vary by client; examples include ~/.cursor/mcp.json, ~/.codeium/windsurf/mcp_config.json, ~/.claude.json, and ~/.codex/config.toml. The installer does not create backup files.
Codex users can add the optional VOC OpenAPI query skill with setup --with-skill. A dry-run mode is available for previewing configuration changes. The installer can also register every supported agent with --all-agents.
The VOC OpenAPI MCP MCP server supports these documented capability areas:
tools/list in local stdio mode.The local serve mode is intended for catalog scanners and Docker-based evaluation. It exposes the curated tools for introspection, but actual tool calls require an API key and return an explicit credential error when none is supplied. Production users are directed to the hosted VOC endpoint rather than the local evaluation mode.
Access is limited to authorized VOC account data and requires browser authorization or an API key for real requests. The installer currently stores an API key as plain text in the local MCP client configuration when that authentication method is used. Keep the key out of source control, logs, screenshots, issues, and chat messages.
The repository's installer code is licensed under Apache License 2.0. The hosted VOC service and its business functions are governed separately by VOC's terms and conditions. The material does not state a service price or free-tier policy, so pricing should be confirmed with VOC.
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