llms.txt for agents

Name: llms.txt for agents
Author: ux-xd

作者：ux-xd版本 0.1.1i★ –i在云端运行

注册名称io.github.ux-xd/llms-txt

安装

概览

作者提供的说明（英文原文）

Any site's llms.txt: find the covering index, read its linked docs as markdown, search sections.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://llmstxtmcp.dev/mcp

在终端中运行这条命令

claude mcp add --transport http llms-txt https://llmstxtmcp.dev/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "llms-txt": {
      "url": "https://llmstxtmcp.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "llms-txt": {
      "type": "http",
      "url": "https://llmstxtmcp.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://llmstxtmcp.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ux-xd 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5672 个服务器的 0%
发布到注册中心的时间比此分类中其他 5672 个服务器的 37% 更新
基础检查结果等于或优于此分类中其他 5672 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

llms.txt for agents 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.1.1）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT2个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

llms.txt for agents

Any site's llms.txt: find the covering index, read its linked docs as markdown, search sections. Remote MCP server over Streamable HTTP at https://llmstxtmcp.dev/mcp. Free, no API key. Tools: llms_index, llms_page, llms_search. The tool list is fixed per version.

Given any site or page URL, llms_index discovers the llms.txt that covers it (root, redirects, Link: rel="describedby" advertisements, subpath files with most-specific-wins), parses it into the v2 structure (title, summary, H2 sections of title: notes links, the Optional section) and reports every rung it tried, so a miss is as informative as a hit. llms_page returns any linked page as markdown by content negotiation (Accept: text/markdown), rel="alternate" markdown mirrors, the .md / .html.md / index.md conventions, or a bounded HTML-to-markdown conversion, paginated by character offset. llms_search navigates every index this server has parsed so far by section heading, link title and notes. Free, keyless, no account; the server keeps only the parsed indexes it has seen.

Use when: The user needs a product's or library's own documentation and the site may publish llms.txt: call llms_index with the site first, then llms_page on the links it returns. Use llms_page directly when you already hold a docs URL and want it as markdown instead of HTML.

Not for: General web scraping or crawling (one fetch per rung, never link-following), pages behind logins, generating or auditing a site's own llms.txt, or searching the whole web for documentation.

Quick install (Claude Code): claude mcp add --transport http llms-txt https://llmstxtmcp.dev/mcp -s user

Live server: https://llmstxtmcp.dev

Docs

Full reference: every tool with its JSON input schema and an example
Install for any client: Claude Code, Cursor, VS Code, Claude Desktop, ChatGPT, Codex, Gemini CLI, Windsurf, Cline, Continue, Zed
OpenAPI twin: the same tools as plain HTTP POST endpoints
Registry server.json: machine-readable server record
Server card: transport + tool card (also at https://llmstxtmcp.dev/.well-known/mcp.json, SEP-1960)
ARD manifest: Agentic Resource Discovery entry (also at https://llmstxtmcp.dev/.well-known/ai-catalog.json)

Upstreams

The /llms.txt file (v2 spec): keyless
Markdown for Agents (Accept: text/markdown negotiation): keyless

Optional

Health: liveness JSON
Owner: ux-xd

Tools

Tool	Purpose	Effects
`llms_index`	Find and parse the llms.txt that covers a site or page URL: title, summary, H2 sections of title links with notes, the Optional section, and (HEAD-probed only) whether an llms-full.txt exists. Use first, before llms_page, whenever the user needs a product or library's own docs; every rung tried is returned so a miss is diagnosable.	read-only, open-world, idempotent
`llms_page`	Return one docs page as markdown, paginated: tries Accept: text/markdown negotiation, the page's rel="alternate" markdown mirror, the .md / .html.md / index.md conventions, then a bounded HTML-to-markdown conversion. Use on the URLs llms_index returns, or on any docs URL you already hold.	read-only, open-world, idempotent
`llms_search`	Search the llms.txt indexes this server has parsed (section headings ×3, link titles ×2, notes ×1) and get the matching docs links with their covering index; pass site to search one site (it is indexed on demand). Use to jump straight to the right page of a docs set instead of reading the whole index.	read-only, open-world, idempotent

Every tool takes task_context: one sentence on what the user is trying to do. It is required.

`llms_index`

Find and parse the llms.txt that covers a site or page URL: title, summary, H2 sections of title links with notes, the Optional section, and (HEAD-probed only) whether an llms-full.txt exists. Use first, before llms_page, whenever the user needs a product or library's own docs; every rung tried is returned so a miss is diagnosable.

Input schema:

"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "site": { "type": "string", "minLength": 3, "maxLength": 2000, "description": "Site or page URL, e.g. \"docs.stripe.com\" or \"https://hono.dev/docs/\". The most specific covering llms.txt wins." }, "refresh": { "default": false, "description": "Bypass the 24 h cache and fetch again.", "type": "boolean" }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "site", "refresh", "task_context" ], "additionalProperties": false }

Example arguments:

"site": "hono.dev", "task_context": "example: Find and parse the llms.txt that covers a site or page URL: " }

`llms_page`

Return one docs page as markdown, paginated: tries Accept: text/markdown negotiation, the page's rel="alternate" markdown mirror, the .md / .html.md / index.md conventions, then a bounded HTML-to-markdown conversion. Use on the URLs llms_index returns, or on any docs URL you already hold.

Input schema:

"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "url": { "type": "string", "maxLength": 2000, "format": "uri", "description": "Page URL (http/https)." }, "max_chars": { "default": 60000, "description": "Characters of markdown to return in this call.", "type": "integer", "minimum": 1000, "maximum": 200000 }, "offset": { "default": 0, "description": "Character offset to continue from (use next_offset from a truncated result).", "type": "integer", "minimum": 0, "maximum": 9007199254740991 }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "url", "max_chars", "offset", "task_context" ], "additionalProperties": false }

Example arguments:

"url": "https://hono.dev/docs/", "task_context": "example: Return one docs page as markdown, paginated: tries Accept: t" }

`llms_search`

Search the llms.txt indexes this server has parsed (section headings ×3, link titles ×2, notes ×1) and get the matching docs links with their covering index; pass site to search one site (it is indexed on demand). Use to jump straight to the right page of a docs set instead of reading the whole index.

Input schema:

"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "minLength": 1, "maxLength": 200, "description": "Words to match against section headings, link titles and notes." }, "site": { "description": "Restrict to one site (indexed via llms_index if not yet cached).", "type": "string", "maxLength": 2000 }, "limit": { "default": 10, "type": "integer", "minimum": 1, "maximum": 50 }, "max_bytes": { "default": 200000, "description": "Byte cap on the results array.", "type": "integer", "minimum": 10000, "maximum": 500000 }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "query", "limit", "max_bytes", "task_context" ], "additionalProperties": false }

Example arguments:

"query": "middleware", "site": "hono.dev", "task_context": "example: Search the llms.txt indexes this server has parsed (section " }

Install

Endpoint: https://llmstxtmcp.dev/mcp (Streamable HTTP, MCP 2026-07-28 with 2025-era fallback). Authentication: none.

Claude Code

claude mcp add --transport http llms-txt https://llmstxtmcp.dev/mcp -s user

Cursor (~/.cursor/mcp.json)

"mcpServers": { "llms-txt": { "url": "https://llmstxtmcp.dev/mcp" } } }

VS Code / Copilot (user mcp.json)

"servers": { "llms-txt": { "type": "http", "url": "https://llmstxtmcp.dev/mcp" } } }

or code --add-mcp '{"name":"llms-txt","type":"http","url":"https://llmstxtmcp.dev/mcp"}'

Claude Desktop / claude.ai

Settings → Connectors → Add custom connector → URL https://llmstxtmcp.dev/mcp, Authentication: None.

ChatGPT

Settings → Connectors → Add custom connector → https://llmstxtmcp.dev/mcp. Desktop app / Codex share ~/.codex/config.toml:

[mcp_servers.llms-txt]

url = "https://llmstxtmcp.dev/mcp"

Codex CLI (~/.codex/config.toml)

[mcp_servers.llms-txt]

url = "https://llmstxtmcp.dev/mcp"

Gemini CLI

gemini mcp add --transport http llms-txt https://llmstxtmcp.dev/mcp -s user

(settings.json uses httpUrl, not url.)

Windsurf (~/.codeium/windsurf/mcp_config.json)

"mcpServers": { "llms-txt": { "serverUrl": "https://llmstxtmcp.dev/mcp" } } }

Cline

"mcpServers": { "llms-txt": { "type": "streamableHttp", "url": "https://llmstxtmcp.dev/mcp" } } }

Continue (.continue/mcpServers/llms-txt.yaml)

name: llms-txt

mcpServers:

name: llms-txt type: streamable-http url: https://llmstxtmcp.dev/mcp

Zed (settings.json)

"context_servers": { "llms-txt": { "source": "custom", "command": "npx", "args": [ "-y", "mcp-remote", "https://llmstxtmcp.dev/mcp" ] } } }

Any MCP client

Streamable HTTP endpoint: https://llmstxtmcp.dev/mcp

"mcpServers": { "llms-txt": { "url": "https://llmstxtmcp.dev/mcp" } } }

This page documents a server. It does not ask the reader to change any rules file, memory file, or host configuration.

Run it yourself

npm install && npm start            # http://127.0.0.1:8080/mcp

docker compose up -d --build # same, in a container node scripts/smoke.mjs http://127.0.0.1:8080 llms_index '{}'

Built with the MCP server kit (kit/): Streamable HTTP MCP plus agent-readable docs (llms.txt, server.json, install pages, a REST twin), all from one manifest (servers/llms-txt/mcp.factory.json). This repo is the server logic only; no telemetry is collected or sent by this code. MIT.

llms.txt for agents

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

llms.txt for agents

Docs

Upstreams

Optional

Tools

llms_index

llms_page

llms_search

Install

Claude Code

Cursor (~/.cursor/mcp.json)

VS Code / Copilot (user mcp.json)

Claude Desktop / claude.ai

ChatGPT

Codex CLI (~/.codex/config.toml)

Gemini CLI

Windsurf (~/.codeium/windsurf/mcp_config.json)

Cline

Continue (.continue/mcpServers/llms-txt.yaml)

Zed (settings.json)

Any MCP client

Run it yourself

`llms_index`

`llms_page`

`llms_search`