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PopNx MCPMCP servers for people who use AI · explained in plain words

EnConvert

by enconvertversion 0.5.1i★ –iRuns on your computer
Registry namecom.enconvert/mcp

Install

Overview

Description from the maker (original English)

Unified web ingestion for AI agents: perceive, discover, search, extract, ingest, watch, convert.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "enconvert": {
      "command": "npx",
      "args": [
        "-y",
        "@enconvert/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add enconvert -- npx -y @enconvert/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "enconvert": {
      "command": "npx",
      "args": [
        "-y",
        "@enconvert/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "enconvert": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@enconvert/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain enconvert.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7243 servers in this category
  • Published to the registry more recently than 43% of the other 7243 servers in this category
  • Basic checks equal to or better than 100% of the other 7243 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is EnConvert safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@enconvert/mcp

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

What you get

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.

Every web read is scored

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:

  • A detected content-free block is HTTP 200 with `is_blocked: true`, empty `outputs` and `billed: false`. The tool text says Blocked: yes (not billed). There is nothing to read; do not retry the same URL expecting a different answer.
  • Reads whose deductions include http_error or login_wall are also not billed (billed: false, text Not billed.). Cache hits are billed.
  • Treat render_quality below 0.40 as not-content: surface the score and deductions instead of the markdown.
  • A 429 comes back as plain text: Rate limited; retry after N seconds, from the gateway's Retry-After header.
File conversion (6)
ToolWhat it does
convert_documentConvert 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_imageConvert between JPEG, PNG, SVG, HEIC, WebP, plus PDF → JPEG rasterization (handy for iPhone HEIC → WebP). SVG rasterization takes optional width and height controls
compress_imageShrink a PNG, JPEG or WebP without changing its format, optionally to a target size in KB
convert_anything_to_markdownTurn PDF, Office, ODF, EPUB, HTML, CSV or text files into clean Markdown for RAG pipelines
convert_anything_to_pdfTurn almost any file (Office, ODF, iWork, images, SVG, HTML, Markdown, EPUB, RTF, CSV) into a PDF
get_job_statusCheck a single file-conversion job by its job ID
Compression and sizing

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.

V2: web data for agents (18, private API key required, plan-gated)
ToolWhat it does
perceive_urlRender a page into multiple artifacts at once (markdown, HTML, screenshots, PDF, links, images) + structured extraction, with ~1h caching
get_perceive_operationRe-fetch a perceive result with freshly signed artifact URLs
perceive_batchPerceive up to 1000 URLs with shared options (inline for small batches, async for large)
get_perceive_batchPoll a perceive batch by job ID
discover_urlsEnumerate a site's URLs via sitemap/crawl/hybrid, with no rendering and no render quota
web_searchGoogle-backed search (web, news, images, scholar, patents, maps) with optional auto-perceive of top results
extract_structuredSchema-driven data extraction (free CSS pass + LLM escalation) from up to 50 URLs or a discovered site
start_ingestTurn a site or URL list into RAG-ready chunked JSONL (always async)
list_ingest_jobs / get_ingest_job / cancel_ingest_jobManage ingest jobs
retry_ingest_webhookRe-deliver a completed job's HMAC-signed completion webhook
create_watcher / list_watchers / get_watcher / get_watcher_snapshots / update_watcher / delete_watcherMonitor 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.

Prompts (7)

Invokable workflows, surfaced as /mcp__enconvert__ in Claude Code. Each encodes ordering and cost rules the individual tools cannot enforce on their own.

PromptWhat it does
site_to_rag_corpusDiscover a site's URLs, filter them, ingest to chunked JSONL, poll to completion
monitor_pageRender once to pick the right diff mode, check for duplicates, then create the watcher
convert_folderRoute every file in a directory to the correct conversion tool by extension
research_with_sourcesOne web_search(perceive_top=N) round trip, then an answer with cited sources
extract_datasetWrite the schema, try the free CSS pass, then extract and report the LLM escalation
diagnose_renderEscalation ladder for an empty, partial or blocked render
watch_digestRoll up every watcher's recent changes plus a health audit
Resources (4)

Read-only context addressed by URI. No resource read triggers a browser render, so attaching them costs no quota.

ResourceWhat it holds
enconvert://formatsThe full conversion matrix: every implemented pair and accepted extension per tool. Offline, works without an API key
enconvert://watchersEvery page being monitored, with cadence, check counts and error streaks
enconvert://ingest-jobsRecent ingest jobs with status, chunk counts and output links
enconvert://watcher/{watcher_id}/snapshotsOne watcher's check history and diffs

Requirements

Install in one command

npx @enconvert/mcp setup

That's it. The wizard:

  1. Detects your AI tools (Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, Zed, Gemini CLI, Codex CLI, OpenCode) and lets you pick which get EnConvert. Detected tools are preselected.
  2. Asks for your secret API key once (hidden input) and validates it live against the API. It even tells you if you pasted a *public* key by mistake.
  3. Writes every config correctly, including the 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.

  • Claude Code - claude CLI (user scope)
  • Cursor - ~/.cursor/mcp.json

Done. Restart your AI tools to pick up the server.

Restart your AI tools afterwards, and you're running.

Manage it just as easily
CommandWhat it does
npx @enconvert/mcp statusWhere it's installed + whether your key is valid (live check)
npx @enconvert/mcp rotate-keySwap in a new API key: one command, applies to every client
npx @enconvert/mcp upgradeCheck npm for a newer version and upgrade (add --dry-run to preview)
npx @enconvert/mcp removeUninstall from selected tools (optionally delete the saved key)
npx @enconvert/mcp setup --yesNon-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.

Where the key lives

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.

Advanced: manual configuration

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.

Try it

Once installed, try any of these in a fresh prompt:

  1. *"Give me https://en.wikipedia.org/wiki/Model_Context_Protocol as markdown and summarize it."* → perceive_url
  2. *"Screenshot https://news.ycombinator.com and save the page as a PDF too."* → perceive_url (both artifacts in one call)
  3. *"Search for the three best static site generators and read their homepages."* → web_search with perceive_top
  4. *"Get every plan name and price from https://example.com/pricing."* → extract_structured
  5. *"Convert /Users/me/Desktop/report.docx to PDF."* → convert_document
  6. *"Convert /Users/me/Desktop/iphone.heic to webp."* → convert_image
  7. *"Squeeze /Users/me/Desktop/screenshot.png down to under 200 KB."* → compress_image
  8. *"Turn /Users/me/Docs/whitepaper.pdf into Markdown for my RAG index."* → convert_anything_to_markdown
  9. *"Watch https://example.com/changelog and tell me when it changes."* → create_watcher

The agent picks the right tool automatically. Descriptions are tune

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