
LightSpot
io.github.nmarijanev0.5.0更新于 Oct 3, 2026
Audit a website for SEO and AI search visibility (ChatGPT, Perplexity, Gemini) and read the fixes.
概览
AI 生成的概览
让助手对网站进行 SEO 与 AI 搜索可见性审计,读取结果和专家报告,并导入编辑日历。
- 功能
- 将 LightSpot 公开 API 封装为 MCP 工具。它可以对某个网址发起审计并等待返回分数、主要行动和主要问题的摘要,也可以异步运行并轮询状态与结果。它还能列出团队站点及其审计历史、读取竞争对手分析和八位专家出具的最新报告,以及读取或导入带日期的编辑日历档期。
- 适用场景
- 适合需要让助手查明网站为何被或未被 AI 搜索引擎引用、把按优先级排序的 SEO 与 GEO 修复建议带入编码或内容流程,或在规划工具与 LightSpot 之间迁移编辑日历的场景。
- 运行要求
- 通过 npx 在本地运行,需要 Node.js 18 或更高版本。需要 LightSpot API 密钥(lspai_live_...),以环境变量 LIGHTSPOT_API_KEY 设置;API 访问包含在 Zenith 套餐中。可选的环境变量 LIGHTSPOT_BASE_URL 可覆盖默认 API 基础地址。需要能访问 LightSpot API 的网络。
安装前请注意
LIGHTSPOT_API_KEY 密钥会写入客户端配置,可访问你团队的 LightSpot 数据。create_editorial_calendar 工具会在你的账户中写入或更新最多 50 个带日期的档期,但不会生成、排期或发布内容。审计会消耗套餐配额,并受每个密钥的速率限制约束。
安装
在 SourceWeft 中
- 打开 控制台中的 LightSpot,将其添加到工作区。
- 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
@lightspot/mcp
MCP server for LightSpot.ai — run SEO & GEO audits, read their results and our experts' reports, and import editorial calendars from any MCP client (Claude Desktop, Claude Code, Cursor, …).
It wraps the LightSpot public API (/v1) as MCP tools, so an AI assistant can "audit this site and tell me why ChatGPT doesn't cite it" in one step.
Requirements
- A LightSpot API key (
lspai_live_…) — create one in LightSpot → Integrations → API keys. API access is included in the Zenith plan. - Node.js ≥ 18 (run on demand via
npx, nothing to install globally).
Setup
Add the server to your MCP client config and set your API key:
- Claude Desktop →
claude_desktop_config.json - Claude Code →
claude mcp addor your project's.mcp.json - Cursor →
~/.cursor/mcp.json
Environment variables
Tools
Example prompts
- "Audit https://example.com and give me the top 3 things to fix for AI visibility."
- "List my LightSpot sites and which one has the lowest score."
- "Get the full results for audit
<id>and group the issues by severity." - "What competitors were detected for my site
<siteId>, and what should I do about them?" - "Read the experts' report for my site
<siteId>and fix what the structured-data expert recommends in my codebase." - "Create a four-week editorial calendar for my site
<siteId>with two LinkedIn posts and one educational Reddit post per week, then import it into LightSpot." - "Show me everything planned or published for site
<siteId>between 2026-08-01T00:00:00+02:00 and 2026-09-01T00:00:00+02:00."
Notes
- Quotas (audits/month, pages/audit) and per-key rate limits follow your LightSpot plan.
- Importing editorial slots does not consume AI credits and never generates, schedules, or publishes content automatically.
- The full REST API reference lives at lightspot.ai/docs/api.
License
MIT
来源:README.md,提交 98536cb
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版本历史
1- v0.5.0最新Oct 3, 2026


