VOC OpenAPI MCP

io.github.SolveaCX由 GitHub 帳號 SolveaCX 發布v1.0.5更新於 Oct 24, 2026

VOC OpenAPI gives AI agents authorized review and product data for insights, tagging, and listings.

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

VOC OpenAPI MCP 讓 AI 助理取得經授權的 Amazon 評論與商品資料,用於洞察分析、回饋標記和商品頁優化。

可以做什麼
取得商品與商品頁的目前或歷史 Amazon 評論,並據此進行情緒、痛點和主題分析。依客戶回饋產生商品頁改善建議。將評論和商品頁歸入結構化分類體系。透過託管端點呼叫已發布的 VOC OpenAPI 資料工具,在一次請求中整合商品、商品頁、評論和競爭定位資料。
適用情境
適合電商營運、消費者洞察團隊和產品研究人員,讓助理取得經授權的 Amazon 評論資料,並轉化為 VOC 分析、標記或商品頁優化建議。
執行需求
遠端 MCP 端點 open.voc.ai,透過 streamable HTTP 存取。需要 VOC 帳號及 API 金鑰,經由 X-API-Key 標頭傳送,可透過瀏覽器登入取得或直接提供。選用安裝器是 npm 套件,會為偵測到的用戶端(如 Claude、Cursor、Codex、Gemini CLI)寫入 MCP 設定。
安裝前請注意
X-API-Key 會以明文儲存在本機 MCP 用戶端設定檔中,請妥善保密,避免提交到版本庫、日誌或截圖。部分工具會建立任務並消耗額度。託管伺服器會接收所選工具的輸入和 API 金鑰。安裝器會就地修改現有用戶端設定,且不建立備份檔。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 VOC OpenAPI MCP,將其新增到工作區。
  2. 連接 X-API-Key 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.SolveaCX%2Fvoc-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "voc-openapi": {
      "type": "http",
      "url": "https://open.voc.ai/mcp/catalog",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

README

VOC OpenAPI MCP Installer

English | 简体中文

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

[VOC OpenAPI MCP product analysis result covering listing data, review insights, pain points, competitive positioning, and recommended actions]

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.

來源:README.md,提交 135f87a

工具

0
該伺服器需要 API 金鑰等憑證,因此 SourceWeft 無法在沒有憑證的情況下讀取其工具,也未收錄。

版本歷史

1
  1. v1.0.5最新Sep 16, 2026

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