Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Unified web ingestion for AI agents: perceive, discover, search, extract, ingest, watch, convert.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add enconvert -- npx -y @enconvert/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"enconvert": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio enconvert.com (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.5.1) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo