# VOC OpenAPI MCP

**Category:** 🔗 Aggregators  
**Repository:** https://github.com/SolveaCX/voc-mcp  
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**Directory Page:** https://allmcps.com/mcp/voc-openapi-mcp

## Description
Analyze authorized Amazon reviews and feedback for VOC insights, tagging, and listing optimization.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "voc-openapi-mcp": {
    "command": "npx",
    "args": ["-y","voc-openapi-mcp"]
  }
}
```

## Documentation & README

# VOC OpenAPI MCP Installer

[English](README.md) | [简体中文](README.zh-CN.md)

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

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

By default, the installer opens your browser to sign in to VOC and approve access.
After authorization, it automatically writes the MCP configuration for the supported
clients detected on your machine, including Codex, Claude, Cursor, and others listed below.

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`)
- 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:

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

Windows PowerShell:

```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):

```bash
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

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

## Authentication

Browser sign-in is the default and recommended flow. The installer opens the VOC
authorization page in your default browser, waits for you to sign in and approve access,
then updates the detected AI clients automatically. If the browser cannot be opened, the
installer prints the same authorization URL so you can open it manually. You do not need
to copy a credential from the browser back into the terminal.

### API Key alternative

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

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

Keep the API key private: do not commit it, paste it into issues or chat, or include it in
screenshots and logs. Prefer the environment variable above over putting the key directly
in a shared command or script.

## Preview

```bash
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:

```bash
node bin/voc-mcp.js serve
```

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

```bash
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

<a href="docs/assets/voc-mcp-product-analysis-full.png">
  <img src="docs/assets/voc-mcp-product-analysis.png" alt="VOC OpenAPI MCP product analysis result covering listing data, review insights, pain points, competitive positioning, and recommended actions" width="900">
</a>

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](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](PRIVACY.md) and [SECURITY.md](SECURITY.md) before installation.

- [Product website](https://open.voc.ai)
- [Privacy Policy](https://www.voc.ai/privacy-policy)
- [Terms and Conditions](https://www.voc.ai/terms-and-conditions)
- [Support](https://www.voc.ai/support)
- [Official Registry metadata](server.json)

## License

The installer source code is licensed under the [Apache License 2.0](LICENSE).
The hosted VOC OpenAPI service and its business capabilities remain subject to
the [VOC Terms and Conditions](https://www.voc.ai/terms-and-conditions).