DataForSEO MCP

io.scalably由 scalably.io 发布v1.0.1更新于 Nov 3, 2026

DataForSEO MCP wrapper: searchable API docs plus normalized calls to the official server. 4 tools.

已验证STDIO仅桌面网页搜索与抓取开发者工具

概览

AI 生成的概览

DataForSEO 官方 MCP 服务器的封装，增加可搜索的文档索引与规范化回复，并可调用真实的 DataForSEO API。

可以做什么
  • 列出并获取 DataForSEO API 文档章节与文档索引
  • 检索 API 文档中的端点路径、方法、请求体与价格
  • 以方法、路径或 URL 和请求体向实时 DataForSEO API 发送带认证的请求
  • 返回含 status、summary、warnings、recovery 的规范化 JSON，并把厂商任务错误统一处理
适用场景
适合需要先查阅 DataForSEO 的 SEO、SERP 或关键词数据端点、再实际调用，并希望获得文档检索和更清晰错误处理的场景。若只需原始 API 访问，官方服务器已足够。
运行要求
通过 npx 以 Node.js 本地进程运行（npm 包），仅限桌面端。需要 DataForSEO 账户，并设置环境变量 DATAFORSEO_USERNAME（账户邮箱）与 DATAFORSEO_PASSWORD（API 密码）。需要访问 DataForSEO API 的网络。
安装前请注意
api_request 会在你的账户余额和速率限制下发起真实计费调用；付费端点调用失败且结果无法确认时可能返回 ambiguous_paid_request，因为盲目重试可能重复扣费。文档类工具免费。凭据以环境变量传入。测试套件之外不要设置 NODE_ENV 或 DATAFORSEO_PROXY_TEST_CHILD。

安装

在 SourceWeft 中

  1. 打开 控制台中的 DataForSEO MCP，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

DataForSEO MCP

A thin wrapper around DataForSEO's official MCP server that adds a searchable docs index and normalized errors. If you only need the raw API, install dataforseo-mcp-server directly.

Install

Claude Code:

bash
claude mcp add dataforseo -e DATAFORSEO_USERNAME=your-login -e DATAFORSEO_PASSWORD=your-password -- npx -y @scalably-io/dataforseo-mcp

Codex:

bash
codex mcp add dataforseo --env DATAFORSEO_USERNAME=your-login --env DATAFORSEO_PASSWORD=your-password -- npx -y @scalably-io/dataforseo-mcp

Claude Desktop: this wrapper ships on npm only (its upstream dependency makes a desktop bundle over 100 MB). Install DataForSEO's own server from https://github.com/dataforseo/mcp-server-typescript instead; the docs-search tools are the only thing you lose.

Setup

  1. Create or open a DataForSEO account at dataforseo.com.
  2. Read the API login (an email address) and API password from the dashboard.
  3. api_request calls the live DataForSEO API and can incur cost per DataForSEO's own pricing; the three docs_* tools are free documentation lookups.

Tools (4)

ToolWhat it does
docs_indexFetch the DataForSEO API documentation index (llms.txt), optionally filtered by section
docs_list_sectionsReturn available DataForSEO API documentation section names
docs_searchFetch DataForSEO API documentation from a documentation URL
api_requestMake an authenticated request to the DataForSEO API (method, path or url, body, and an optional noAiMode flag for the full, non AI-optimized response)

Use docs_list_sections or docs_index to pick an API family, then docs_search for the exact current endpoint path, method, request body and pricing before calling api_request.

Configuration

VariableRequiredPurpose
DATAFORSEO_USERNAMEyesDataForSEO account login (email) from the dashboard
DATAFORSEO_PASSWORDyesDataForSEO account API password from the dashboard
NODE_ENV, DATAFORSEO_PROXY_TEST_CHILDnoTest suite only: with NODE_ENV=test the wrapper spawns the fake child named by DATAFORSEO_PROXY_TEST_CHILD instead of the upstream server. Never set them in normal use

Reply shape

Every tool returns plain JSON with status (succeeded, partial, no_op), operation, summary, target, result, proof, warnings, recovery. Failures surface as a tool error whose text is <code>: <message> <hint>. api_request normalizes DataForSEO's per-task status codes (pending tasks, no-result tasks, partial failures, and vendor error codes) into that shape instead of returning DataForSEO's raw task envelope unexamined.

Limits

api_request is a real, billable call to the DataForSEO API; DataForSEO's own account balance and rate limits apply. A failed call to a paid endpoint is reported with an ambiguous_paid_request error when the outcome could not be confirmed, since retrying blind could double the charge.

Verify

Each release lists the package version and the production commit it was derived from in CHANGELOG.md; npm publishes with provenance from GitHub Actions. CI runs the tests and a clean install of the packed tarball on every push.

Privacy Policy

This server runs locally, on your machine, under your own credentials. It collects no personal data, contains no telemetry, stores nothing persistently, and talks only to the vendor API it wraps. No third party, including Scalably, receives your data. Contact: [email protected]. Canonical copy: https://scalably.io/connector-privacy.html

License

MIT. Copyright Scalably.

来源：README.md，提交 f25681d

工具

0
SourceWeft 尚未在沙箱中启动过该软件包，因此其工具未知。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

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