Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Unified web ingestion for AI agents: perceive, discover, search, extract, ingest, watch, convert.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}在终端中运行这条命令
claude mcp add enconvert -- npx -y @enconvert/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"enconvert": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@enconvert/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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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6日
注册名称已通过域名 enconvert.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
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。
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.1)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
Web and file reading for AI agents with a 0-1 render_quality score on every read. EnConvert perceives pages, discovers URLs, searches the live web, extracts structured data, ingests RAG-ready chunks and watches for changes, all through one API key, and every web read comes back scored with named deductions so a blocked, challenge or empty-SPA page is flagged instead of mistaken for content.
Official Model Context Protocol (MCP) server for EnConvert. It lets any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, Claude Desktop, Continue, etc.) read the web and convert files through a single command.
Listed on: Official MCP Registry · Glama · LobeHub · npm
Twenty-four tools, optimized for reliable LLM tool selection. All URL/browser work goes through the V2 tools (perceive_url and friends); the V1 tools cover local/remote FILE conversion. All 24 are registered by default; see Toolsets to register only the web or only the file tools.
perceive_url (and everything built on it) returns render_quality (0.0-1.0) with named deductions such as anti_bot_challenge, http_error or login_wall, plus the source status_code. The contract your agent can rely on:
Blocked: yes (not billed). There is nothing to read; do not retry the same URL expecting a different answer.http_error or login_wall are also not billed (billed: false, text Not billed.). Cache hits are billed.render_quality below 0.40 as not-content: surface the score and deductions instead of the markdown.Rate limited; retry after N seconds, from the gateway's Retry-After header.| Tool | What it does |
|---|---|
convert_document | Convert DOC(X), XLS(X), PPT(X), ODT, ODS, ODP, OTS, Pages, Numbers, EPUB, HTML, MD, CSV, JSON, XML, YAML, TOML to PDF (or between each other) |
convert_image | Convert between JPEG, PNG, SVG, HEIC, WebP, plus PDF → JPEG rasterization (handy for iPhone HEIC → WebP). SVG rasterization takes optional width and height controls |
compress_image | Shrink a PNG, JPEG or WebP without changing its format, optionally to a target size in KB |
convert_anything_to_markdown | Turn PDF, Office, ODF, EPUB, HTML, CSV or text files into clean Markdown for RAG pipelines |
convert_anything_to_pdf | Turn almost any file (Office, ODF, iWork, images, SVG, HTML, Markdown, EPUB, RTF, CSV) into a PDF |
get_job_status | Check a single file-conversion job by its job ID |
compress_image never changes the format: a PNG comes back as a PNG, a JPEG as a JPEG, a WebP as a WebP, and the result is never larger than the input. It goes lossless first (metadata stripped, ICC profile and EXIF orientation preserved), then downscales with the aspect ratio locked if target_size_kb is still out of reach. An unreachable target_size_kb is not an error: you get back the smallest file achieved, so check file_size on the result. Animated APNG and animated WebP are rejected.
width and height on convert_image apply to SVG input only (svg to png, jpeg or webp; SVG to HEIC does not take them), 1 to 10000 each. Pass one alone and the other dimension is derived from the SVG's own aspect ratio. Pass both to set the exact canvas, which may change the aspect ratio. Omit both and the SVG's intrinsic size is kept.
| Tool | What it does |
|---|---|
perceive_url | Render a page into multiple artifacts at once (markdown, HTML, screenshots, PDF, links, images) + structured extraction, with ~1h caching |
get_perceive_operation | Re-fetch a perceive result with freshly signed artifact URLs |
perceive_batch | Perceive up to 1000 URLs with shared options (inline for small batches, async for large) |
get_perceive_batch | Poll a perceive batch by job ID |
discover_urls | Enumerate a site's URLs via sitemap/crawl/hybrid, with no rendering and no render quota |
web_search | Google-backed search (web, news, images, scholar, patents, maps) with optional auto-perceive of top results |
extract_structured | Schema-driven data extraction (free CSS pass + LLM escalation) from up to 50 URLs or a discovered site |
start_ingest | Turn a site or URL list into RAG-ready chunked JSONL (always async) |
list_ingest_jobs / get_ingest_job / cancel_ingest_job | Manage ingest jobs |
retry_ingest_webhook | Re-deliver a completed job's HMAC-signed completion webhook |
create_watcher / list_watchers / get_watcher / get_watcher_snapshots / update_watcher / delete_watcher | Monitor pages for changes on an hourly-plus cadence with diff history and notifications |
Not exposed by design: the webhook signing-secret endpoints (GET/POST /v2/ingest/webhook-secret*), because secrets do not belong in LLM context. Fetch those from the EnConvert dashboard.
Invokable workflows, surfaced as /mcp__enconvert__ in Claude Code. Each encodes ordering and cost rules the individual tools cannot enforce on their own.
| Prompt | What it does |
|---|---|
site_to_rag_corpus | Discover a site's URLs, filter them, ingest to chunked JSONL, poll to completion |
monitor_page | Render once to pick the right diff mode, check for duplicates, then create the watcher |
convert_folder | Route every file in a directory to the correct conversion tool by extension |
research_with_sources | One web_search(perceive_top=N) round trip, then an answer with cited sources |
extract_dataset | Write the schema, try the free CSS pass, then extract and report the LLM escalation |
diagnose_render | Escalation ladder for an empty, partial or blocked render |
watch_digest | Roll up every watcher's recent changes plus a health audit |
Read-only context addressed by URI. No resource read triggers a browser render, so attaching them costs no quota.
| Resource | What it holds |
|---|---|
enconvert://formats | The full conversion matrix: every implemented pair and accepted extension per tool. Offline, works without an API key |
enconvert://watchers | Every page being monitored, with cadence, check counts and error streaks |
enconvert://ingest-jobs | Recent ingest jobs with status, chunk counts and output links |
enconvert://watcher/{watcher_id}/snapshots | One watcher's check history and diffs |
engines field)npx @enconvert/mcp setup
That's it. The wizard:
cmd /c npx wrapper Windows needs. Your key is stored once in ~/.enconvert/config.json (permissions 600), never copied into client configs.$ npx @enconvert/mcp setup
EnConvert MCP - setup
? Which AI tools should get EnConvert? [x] Claude Code (detected) [x] Cursor (detected) [ ] Claude Desktop [ ] Windsurf ... ? Paste your SECRET API key (sk_live_..., input hidden): ******** ✔ API key is valid.
Done. Restart your AI tools to pick up the server.
Restart your AI tools afterwards, and you're running.
| Command | What it does |
|---|---|
npx @enconvert/mcp status | Where it's installed + whether your key is valid (live check) |
npx @enconvert/mcp rotate-key | Swap in a new API key: one command, applies to every client |
npx @enconvert/mcp upgrade | Check npm for a newer version and upgrade (add --dry-run to preview) |
npx @enconvert/mcp remove | Uninstall from selected tools (optionally delete the saved key) |
npx @enconvert/mcp setup --yes | Non-interactive: configure all detected tools with the saved key |
Scripting? setup --clients claude-code,cursor --api-key sk_live_... --yes skips all prompts. rotate-key with no argument prompts with hidden input so the key never lands in your shell history.
setup stores your key once in ~/.enconvert/config.json (mode 600) instead of pasting it into every client's plaintext config. The server reads it at startup; the ENCONVERT_API_KEY environment variable always overrides it (for Docker, CI, or manual setups). Rotating is therefore a single-file change, and every client picks it up on its next launch.
Prefer to wire it yourself? Add this to your client's MCP config (~/.cursor/mcp.json, ~/.codeium/windsurf/mcp_config.json, etc.):
{
"mcpServers": { "enconvert": { "command": "npx", "args": ["-y", "@enconvert/mcp@latest"], "env": { "ENCONVERT_API_KEY": "sk_live_your_key" } } } }
On native Windows, use "command": "cmd" and "args": ["/c", "npx", "-y", "@enconvert/mcp@latest"], because bare npx hangs. (WSL behaves like Linux.) For Claude Code:
claude mcp add enconvert -s user \
-e ENCONVERT_API_KEY=sk_live_your_key \ -- npx -y @enconvert/mcp@latest
The inline env block is optional if you've run setup (or created ~/.enconvert/config.json); the server falls back to the saved key automatically. Client config locations: Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows); Cursor ~/.cursor/mcp.json; Windsurf ~/.codeium/windsurf/mcp_config.json; Gemini CLI ~/.gemini/settings.json; Codex ~/.codex/config.toml.
Once installed, try any of these in a fresh prompt:
perceive_urlperceive_url (both artifacts in one call)web_search with perceive_topextract_structured/Users/me/Desktop/report.docx to PDF."* → convert_document/Users/me/Desktop/iphone.heic to webp."* → convert_image/Users/me/Desktop/screenshot.png down to under 200 KB."* → compress_image/Users/me/Docs/whitepaper.pdf into Markdown for my RAG index."* → convert_anything_to_markdowncreate_watcherThe agent picks the right tool automatically. Descriptions are tune
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