MCP 服务器

VOC OpenAPI MCP

Analyze Amazon reviews, VOC feedback, sentiment, pain points, and listing improvements through seven curated MCP tools.

README

VOC OpenAPI MCP Installer

Install the full VOC OpenAPI MCP server for Amazon review insights, feedback tagging, listing optimization, and hundreds of published data tools 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

curl -fsSL https://open.voc.ai/install.sh | bash

Windows PowerShell:

irm https://open.voc.ai/install.ps1 | iex

Alternatively, use the npm package directly:

npx voc-openapi-mcp@latest setup

Codex users can also install the general-purpose VOC OpenAPI query skill:

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)
WorkBuddy (desktop app; writes user-level ~/.workbuddy/mcp.json)
Gemini CLI (writes to ~/.gemini/settings.json)
Codex (CLI and Desktop both use ~/.codex/config.toml)

List the agents detected on the local machine:

curl -fsSL https://open.voc.ai/install.sh | bash -s -- --list-agents

Windows PowerShell:

& ([scriptblock]::Create((irm https://open.voc.ai/install.ps1))) -ListAgents

Register every supported agent (the installer detects installed clients automatically by default, so this is usually unnecessary):

npx voc-openapi-mcp@latest setup --all-agents

Default configuration:

Codex: $CODEX_HOME/config.toml, or ~/.codex/config.toml when CODEX_HOME is not set
Claude Code: ~/.claude.json
Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (or %APPDATA%\Claude\claude_desktop_config.json on Windows)
Cursor: ~/.cursor/mcp.json
Windsurf: ~/.codeium/windsurf/mcp_config.json
WorkBuddy: ~/.workbuddy/mcp.json
Gemini CLI: ~/.gemini/settings.json
MCP server name: voc-openapi
MCP URL: https://open.voc.ai/mcp-server
Authentication header: X-API-Key
Full endpoint: all published VOC OpenAPI MCP tools
Codex MCP startup timeout: 120 seconds

The installer updates the corresponding MCP server configuration in place and does not create .bak backup files.

Options

voc-mcp setup \
  --api-base https://open.voc.ai \
  --name voc-openapi \
  --with-skill \
  --config ~/.codex/config.toml

You can also skip browser authorization and provide an API key directly:

VOC_OPENAPI_API_KEY=voc_live_sk_xxx npx voc-openapi-mcp@latest setup

Preview

npx voc-openapi-mcp@latest setup --api-key voc_live_sk_xxx --dry-run

Note: To support a one-command setup, the API key is currently stored as plain text in the local MCP client configuration file.

Local stdio server for catalog scanners

Catalog scanners such as Glama primarily use the repository Dockerfile to build and start a minimal local stdio MCP server for evaluation. From a source clone or Docker image, the server command is:

node bin/voc-mcp.js serve

After the npm package release, the equivalent package command is:

npx voc-openapi-mcp@latest serve

This mode exposes the same seven curated tools through tools/list for catalog introspection and Docker-based evaluation. Real tools/call requests require VOC_OPENAPI_API_KEY, VOC_API_KEY, or X_API_KEY; without a key the server returns an explicit API-key-required error instead of fake business results. Production users should continue to use the hosted endpoint https://open.voc.ai/mcp/catalog.

Example result

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.

License

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.