Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Unified web ingestion for AI agents: perceive, discover, search, extract, ingest, watch, convert.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add enconvert -- npx -y @enconvert/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"enconvert": {
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"enconvert": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@enconvert/mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde über die Domain enconvert.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.5.1) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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