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EnConvert MCP Server

EnConvert MCP Server

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mcp MCP server

mcp MCP server

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)

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

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)

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.

Prompts (7)

Invokable workflows, surfaced as /mcp__enconvert__<name> 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

Resources (4)

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

Related MCP server: Crawlberg MCP Server

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

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.

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 tuned so URL work lands on perceive_url and file work on the convert tools.

Configuration

The API key is resolved in this order:

  1. ENCONVERT_API_KEY environment variable (from your MCP client's env block), which always wins

  2. ~/.enconvert/config.json, written by npx @enconvert/mcp setup

Setting

Required

Default

Purpose

ENCONVERT_API_KEY (env) or api_key (config file)

✅ Yes

none

Your secret EnConvert API key

ENCONVERT_BASE_URL (env) or base_url (config file)

No

https://api.enconvert.com

Override for staging or self-hosted EnConvert

ENCONVERT_TOOLSETS (env)

No

all

Which tool family to register: web, files or all

Toolsets

Every registered tool costs context on each turn, so trim the set when you only need one family:

ENCONVERT_TOOLSETS

Tools

Use when

web

the 18 V2 tools: perceive, discover, search, extract, ingest, watch

the agent reads the web; nothing on disk to convert

files

the 6 V1 file tools: convert, compress, job status

a pure document-conversion assistant

all (default)

all 24

you want both

Set it in the client's env block next to the API key, e.g. "ENCONVERT_TOOLSETS": "web". The server logs [enconvert-mcp] toolsets=all: 24 tools registered to stderr on startup (stdout is the MCP transport). An unknown value is a startup error, not a silent default. Prompts and resources are always registered.

How it works

The server is a thin MCP wrapper around the official @enconvert/node-sdk, which owns all HTTP, auth, timeout (5 min), and job-polling fallback logic. Each tool handler maps MCP input to an SDK call and returns a consistent response:

  • a text summary with the download URL(s) and metadata

  • a structuredContent block with the full typed result

  • a resource_link to the local file when save_to is provided (file tools)

  • for perceive_url, the markdown artifact inlined in the response (up to ~256 KB) so agents can immediately read it without a second HTTP fetch

Troubleshooting

npx hangs on native Windows Use cmd /c npx …. The cmd shim handles Windows path resolution that bare npx does not. (npx @enconvert/mcp setup writes this automatically on Windows.)

Authentication failed: Invalid or missing API key Run npx @enconvert/mcp status. It shows where your key comes from and validates it live. Fix with npx @enconvert/mcp rotate-key, or check the ENCONVERT_API_KEY env block if you configured manually.

Tool call times out Browser renders of heavy pages (perceive_url, extract_structured) can take 15-30 s, and the SDK waits up to 5 min. If your client has a shorter timeout, raise it.

"Relative path" error on the file tools Pass an absolute path (e.g., /Users/me/file.docx or C:\Users\me\file.docx), or pass an http(s):// URL. MCP servers have no reliable working directory.

How it depends on the Node SDK

This MCP server is a thin wrapper around @enconvert/node-sdk, which owns all HTTP, authentication, timeout, retry, and job_id polling-on-500 logic. New SDK releases automatically benefit the MCP server.

License

MIT

Available Tools

24 tools
cancel_ingest_jobCancel Ingest JobA

Cancel a queued or running ingest job. Idempotent: canceling an already-finished job returns it unchanged, no error.

Use when: a job was started with wrong parameters, is no longer needed, or is consuming quota on the wrong site.

Do NOT use when: pausing a watcher (use update_watcher with status 'paused').

Returns: the job with status 'canceled' (or its unchanged terminal state). Pages already processed stay counted against quota.

Inputs: job_id (required), context (required).

compress_imageCompress ImageA

Shrink an image FILE while KEEPING its format: png -> png, jpg -> jpg, jpeg -> jpeg, webp -> webp. Input is an absolute local filesystem path OR an http(s) URL pointing at the file itself. Accepted input extensions, exactly: .png, .jpg, .jpeg, .webp. There is NO output_format option, this tool is a size optimizer and NOT a format converter: the output always keeps the input format and extension, and is never larger than the input. Compression is lossless first (metadata stripped, ICC profile and EXIF orientation preserved); when target_size_kb is set and lossless alone misses it, the image is downscaled with its aspect ratio locked. target_size_kb is BEST EFFORT: an unreachable target is NOT an error, the smallest file achieved is returned instead, so read the returned file size to see what was actually reached. Animated APNG and animated WebP are rejected.

Use when: "compress this image", "make this PNG smaller", "get this photo under 200 KB", "optimize these images for the web", shrinking a screenshot or attachment to fit an upload limit, cutting page weight without changing the file type.

Do NOT use when: a DIFFERENT output format is wanted, for example png -> webp, heic -> jpeg or webp -> png (use convert_image, compress_image cannot change the format); an SVG should be resized or rasterized (use convert_image with output_format png, jpeg or webp plus width and/or height); the input is .heic, .heif, .svg, .gif, .bmp or .tif/.tiff (not accepted here, use convert_image); a PDF or a document should be made smaller (not supported by any tool here).

Returns: a presigned download URL of the compressed image plus metadata and a jobId. The reported file size in bytes is the authoritative answer to "did it hit target_size_kb"; compare it yourself instead of assuming success. Pass save_to (absolute path) to also write the compressed image locally.

Inputs: file (required), context (required), save_to, target_size_kb, +1 more.

convert_anything_to_markdownConvert Anything to MarkdownA

Convert almost any document FILE to one heading-aware Markdown (.md) file. Input is an absolute local filesystem path OR an http(s) URL pointing at the file itself (the server downloads the bytes, it does NOT render web pages). Accepted extensions, exactly 22: .csv, .doc, .docx, .epub, .htm, .html, .markdown, .md, .mdown, .mkd, .odp, .ods, .odt, .pdf, .ppt, .pptx, .rtf, .text, .txt, .xhtml, .xls, .xlsx. Anything else is rejected before the upload. Headings are preserved, so the output is suited to semantic chunking and RAG ingestion.

Use when: "turn this PDF into markdown", extracting the readable text of a local Word, PowerPoint, Excel, OpenDocument, EPUB or RTF file, preparing documents for a RAG pipeline, vector store or LLM context, normalizing a mixed pile of files into one text format, reading a binary document whose contents you need as plain text.

Do NOT use when: the source is a LIVE WEB PAGE or any URL whose rendered content is wanted rather than a file to download (use perceive_url with outputs ['markdown'], this tool is for FILES); the wanted output is a PDF (use convert_anything_to_pdf); the wanted output is HTML or a data format such as json, xml, yaml, toml or csv (use convert_document); the input is an image and OCR is expected (image input is not accepted here).

Returns: a presigned download URL of the .md file plus metadata and a jobId; pass save_to (absolute path) to also write it locally.

Inputs: file (required), context (required), save_to, output_filename.

convert_anything_to_pdfConvert Anything to PDFA

Convert almost any FILE to PDF through one catch-all endpoint. Input is an absolute local filesystem path OR an http(s) URL pointing at the file itself. Accepted extensions, exactly 36: .bmp, .csv, .doc, .docx, .epub, .gif, .heic, .heif, .htm, .html, .jpeg, .jpg, .markdown, .md, .mdown, .mkd, .numbers, .odp, .ods, .odt, .ots, .pages, .pdf, .png, .ppt, .pptx, .rtf, .svg, .text, .tif, .tiff, .txt, .webp, .xhtml, .xls, .xlsx. A .pdf input is accepted and passed through, so together with pdf_options.grayscale this doubles as a PDF normalize and grayscale path.

Use when: the input format is unknown, unusual, or varies from call to call and a PDF is wanted regardless; putting an image into a PDF (png, jpg, jpeg, webp, gif, bmp, tif, tiff, heic, heif) or an SVG, RTF, Apple Pages or Apple Numbers file into a PDF; "make a PDF out of this, whatever it is"; converting an existing PDF to grayscale or re-normalizing it.

Do NOT use when: the source is a LIVE web page (use perceive_url with outputs ['pdf']); the wanted output is NOT a PDF (use convert_image, convert_document, or convert_anything_to_markdown). This tool deliberately OVERLAPS convert_document: convert_document stays the right choice for the KNOWN office-to-pdf pairs (doc, docx, xls, xlsx, ppt, pptx, odt, ods, odp, ots, html, md) and for the structured-data pairs (json, xml, yaml, toml, csv), while convert_anything_to_pdf is the SINGLE catch-all for everything else: an unknown or unusual input format, images, SVG, RTF, HEIC, TIFF, iWork files, EPUB (which has no convert_document pair), or a PDF that merely needs normalizing or grayscaling.

Returns: a presigned download URL of the .pdf plus metadata and a jobId; pass save_to (absolute path) to also write it locally. pdf_options CAVEAT: full page geometry (page_size, orientation, margins, scale) is honored ONLY for html, htm, xhtml, markdown, plain text, epub, image and svg input. Office, ODF, iWork, RTF and CSV input plus PDF passthrough accept "grayscale" ONLY and are rejected with a 400 when any explicit geometry option is set.

Inputs: file (required), context (required), save_to, pdf_options, +1 more.

convert_documentConvert DocumentA

Convert a document FILE between formats. Input is an absolute local filesystem path OR an http(s) URL pointing at the file itself (the server downloads the bytes; it does NOT render web pages). Implemented pairs, exactly:

  • To PDF: doc/docx, xls/xlsx, ppt/pptx, odt, ods, odp, ots, pages, numbers, html/htm, md/markdown.

  • markdown -> html.

  • Structured data: json <-> xml, json <-> yaml, json <-> toml, json <-> csv, csv <-> xml. No other pairs exist (no pdf -> docx, no yaml -> toml, no html -> markdown). Unsupported pairs fail instantly with the list of valid outputs for that input. output_format defaults to "pdf".

Use when: "convert this file to PDF" for Word, Excel, PowerPoint, OpenDocument, or Apple Pages/Numbers files; turning a local .html or .md file into a PDF; markdown to HTML; JSON/CSV/XML/YAML/TOML data-format conversions.

Do NOT use when: the source is a LIVE web page to render or read (use perceive_url, which produces markdown, PDF, screenshots, and structured data from URLs); the file is an image or the output should be an image (use convert_image, including pdf -> jpeg); the input is an .epub (there is NO epub pair here, it is rejected before upload: use convert_anything_to_pdf or convert_anything_to_markdown).

Returns: a presigned download URL of the converted file plus metadata and a jobId; pass save_to (absolute path) to also write it locally. pdf_options (page size, orientation, margins, scale, grayscale) shape PDF outputs.

Inputs: file (required), context (required), save_to, pdf_options, +2 more.

convert_imageConvert ImageA

Convert an image FILE between formats: any pair among jpeg, png, svg, heic, webp (all 20 combinations), plus pdf -> jpeg rasterization. Input is an absolute local filesystem path OR an http(s) URL pointing at the file itself. A multi-page PDF returns a ZIP containing one JPEG per page; a single-page PDF returns one JPEG. SVG input additionally accepts optional width and height in pixels to size the rasterized output.

Use when: converting iPhone HEIC photos to WebP/PNG/JPEG, re-encoding or modernizing images to WebP, rasterizing an SVG (optionally at an exact pixel size, e.g. "render this logo.svg as a 512px wide PNG"), turning PDF pages into JPEG images, batch-converting image assets.

Do NOT use when: the file is a document format (use convert_document); the source is a LIVE web page (use perceive_url with outputs ['screenshot']); the image should only be made SMALLER while keeping its format (use compress_image); resizing, cropping, or editing a RASTER image is wanted (still not supported: for png, jpeg, webp, heic and pdf input this is format conversion only). SVG input is the one exception to that: width and height set the rasterized output size for svg to png, svg to jpeg and svg to webp only, each 1 to 10000, supplying one alone preserves the SVG's aspect ratio and derives the other dimension, and the total output is capped at 25 megapixels. Also do NOT use when PDF as OUTPUT is wanted (pdf is input-only here; use convert_anything_to_pdf to turn an image or SVG into a PDF).

Returns: a presigned download URL of the converted image plus metadata and a jobId; pass save_to (absolute path) to also write it locally. PDF input supports output_format "jpeg" only, other outputs fail instantly with a clear error.

Inputs: file (required), context (required), output_format (required), width, +3 more.

create_watcherCreate Page WatcherA

Monitor a URL for changes: the page is re-rendered on a fixed cadence (minimum every 60 minutes), diffed against the previous capture, and the owner is notified by email and/or HMAC-signed webhook on change.

Use when: "watch this page and tell me when it changes", price/stock/content monitoring, competitor tracking. diff_mode picks the strategy: 'auto' (default), 'text', 'structured', 'tables', or 'metadata'.

Do NOT use when: a one-time snapshot is wanted (use perceive_url); sub-hourly cadence is required (the 60-minute floor is hard). Watchers are credential-free (no auth/cookies).

Returns: the watcher (wat_...) with status 'active', its cadence, and next_check_at. Plans cap active watchers, so creation past the cap is a quota gate.

Inputs: url (required), context (required), diff_mode, webhook_url, +3 more.

delete_watcherDelete WatcherA

Delete a watcher (soft-delete, idempotent). Monitoring stops; the watcher then reads as 404 on get_watcher.

Use when: monitoring of that page is no longer wanted, or freeing a slot under the plan's watcher cap.

Do NOT use when: temporarily suspending checks (use update_watcher with status 'paused'; deletion is not reversible via the API).

Returns: the tombstoned watcher with status 'deleted'.

Inputs: context (required), watcher_id (required).

discover_urlsDiscover Website URLsA

Enumerate a website's URLs WITHOUT rendering any page: reads sitemap.xml, crawls internal links over plain HTTP, or both (mode 'hybrid', default). Fast, cheap, and does not consume render quota.

Use when: "list all pages of ", scoping a site before perceive_batch / extract_structured / start_ingest, or checking what a sitemap exposes. Regex include/exclude patterns narrow the result.

Do NOT use when: page CONTENT is needed (discover returns URLs only, so follow up with perceive tools); searching the open web (use web_search). Note: crawl mode is HTTP-only and cannot see JavaScript-rendered links.

Returns: deduplicated URL list, total, per-source counts (sitemap vs crawl), truncated flag, warnings.

Inputs: url (required), context (required), mode, max_urls, +5 more.

extract_structuredExtract Structured Data (Distill)A

Extract structured data matching YOUR schema from up to 50 URLs (or from a site discovered on the fly via discover_from). Two-pass engine: an optional css_schema answers fields for free via CSS selectors; any missing field escalates to LLM extraction (plan-gated). The response data is guaranteed to match the requested schema shape.

Use when: "get every product's name and price from these pages", scraping repeating records into JSON, or any page-to-JSON task with a known target shape. Provide schema as JSON-Schema ({type:'object',properties:{...}}) or a flat {field: 'description'} map.

Do NOT use when: raw page content is enough (use perceive_url with outputs ['markdown']); building a RAG corpus (use start_ingest); more than 50 URLs (split, or ingest).

Returns: per-URL data + extraction_tier (css/llm/mixed/none), fields_from_css vs fields_from_llm, per-URL and total cost. Failed URLs are isolated, so others still succeed.

Inputs: schema (required), context (required), urls, wait_for, +4 more.

get_ingest_jobGet Ingest JobA

Get one ingest job by job_id (ing_...).

Use when: polling a running job until status leaves 'queued'/'discovering'/'processing', or fetching the output_url of a completed one. Jobs process pages at roughly 5-30 s each, so wait between polls.

Do NOT use when: the ID is a perceive batch (use get_perceive_batch) or watcher (use get_watcher).

Returns: full job state, including status, pages discovered/processed/failed, total_chunks, output_url (signed JSONL link, once completed), error_message, webhook delivery state.

Inputs: job_id (required), context (required).

get_job_statusGet Job StatusA

Check the status of ONE file-conversion job by job_id (every successful convert_document / convert_image result includes a "Job ID" in its text and a jobId in structuredContent).

Use when: a conversion timed out or the connection dropped mid-call and you need to recover its result; confirming whether a slow conversion actually finished server-side.

Do NOT use when: tracking a perceive batch (use get_perceive_batch) or an ingest job (use get_ingest_job); no jobId is at hand.

Returns: "processing" (poll again shortly), "success" with the presigned download URL and object key, or "failed" with the error message.

Inputs: job_id (required), context (required).

get_perceive_batchGet Perceive Batch StatusA

Poll a perceive batch by job_id. Items fill in as URLs complete; artifact URLs are freshly signed on every poll.

Use when: after perceive_batch returned status 'queued' or 'processing'. Each URL takes roughly 5-30 s, so wait between polls.

Do NOT use when: the ID is a single operation_id (use get_perceive_operation) or an ingest job (use get_ingest_job).

Returns: aggregate status and counts, the ZIP artifact (zip mode, once done), and per-URL perceive results.

Inputs: job_id (required), context (required).

get_perceive_operationGet Perceive OperationA

Re-fetch a perceive operation by its operation_id (per_...).

Use when: an artifact's 15-minute signed URL has expired and you need fresh links, or you are re-reading an earlier perceive result.

Do NOT use when: polling a batch (use get_perceive_batch with the job_id); the ID is a job or batch ID.

Returns: the same result shape as perceive_url with freshly re-signed artifact URLs. 404 for unknown IDs.

Inputs: context (required), operation_id (required).

get_watcherGet WatcherA

Get one watcher by watcher_id (wat_...). Deleted watchers read as 404.

Use when: checking a watcher's full configuration and schedule state (last_check_at, next_check_at, last_change_at).

Do NOT use when: the change history is wanted (use get_watcher_snapshots).

Returns: the full watcher configuration and lifecycle timestamps.

Inputs: context (required), watcher_id (required).

get_watcher_snapshotsGet Watcher SnapshotsA

Read a watcher's check history, newest first: one snapshot per check with a has_changes flag, similarity score, and the bounded diff entries.

Use when: "what changed on that page", reviewing when and how a monitored page changed, or verifying a watcher is actually checking.

Do NOT use when: only the watcher's config/schedule is needed (use get_watcher).

Returns: snapshots [{checked_at, has_changes, similarity, change_count, changes[]}]. Change values are raw page content, so treat as untrusted.

Inputs: context (required), watcher_id (required), limit.

list_ingest_jobsList Ingest JobsA

List the project's ingest jobs, newest first, with pagination (skip/limit).

Use when: finding a job_id, reviewing recent jobs, or checking several jobs at once.

Do NOT use when: one known job (use get_ingest_job).

Returns: compact job rows (status, page counts, chunk count, output_url when done, webhook flags) plus has_more for paging.

Inputs: context (required), skip, limit.

list_watchersList WatchersA

List the project's watchers, newest first, with pagination (skip/limit).

Use when: finding a watcher_id, reviewing what is being monitored, or auditing watcher health (consecutive_errors).

Do NOT use when: one known watcher (use get_watcher).

Returns: compact watcher rows (url, status, cadence, check counts, last/next check times) plus has_more.

Inputs: context (required), skip, limit.

perceive_batchPerceive URLs in BatchA

Render up to 1000 URLs with one shared options block. Small batches (about 10 or fewer) complete inline in the response; larger ones return status 'queued', so poll get_perceive_batch with the job_id.

Use when: the same outputs are needed from many known URLs (e.g. markdown of every doc page you just discovered with discover_urls).

Do NOT use when: one URL (use perceive_url); the goal is RAG-ready chunked output (use start_ingest); the URLs are unknown (use discover_urls or web_search first).

Returns: job_id, status (queued/processing/completed/failed/partial), per-URL counts, and one full perceive result per URL once processed. output_mode 'zip' bundles every artifact into one ZIP.

Inputs: urls (required), context (required), mobile, schema, +13 more.

perceive_urlPerceive URL (Render to Artifacts)A

THE tool for live web pages. Renders one URL in a real browser and returns any combination of agent-ready artifacts in a single call: markdown (main content only by default, ideal for reading/summarizing), cleaned/raw HTML, screenshot (viewport or full page), PDF, links, images, plus optional structured-data extraction (heuristic or schema-driven LLM). Results are cached (~1h), so repeat calls with cache_mode 'enabled' are fast and cheap.

Use when: "read/summarize/quote this page" (outputs ['markdown']); "save this page as PDF" (outputs ['pdf'], with pdf_options); "screenshot this URL" (outputs ['screenshot' or 'screenshot_full_page']); extracting tables, metadata, headings, or a custom JSON schema from a page; executing js_code or awaiting a wait_for condition before capture; any combination of the above at once.

Do NOT use when: the input is a local FILE on disk (use convert_document / convert_image); the page must be searched for first (use web_search); many URLs at once (use perceive_batch); building a RAG corpus (use start_ingest).

Returns: operation_id, per-artifact 15-minute signed URLs (re-sign later with get_perceive_operation), inline structured data, render quality score, cache_hit flag, cost. When a markdown artifact is produced, this MCP server fetches it and inlines the text in the tool result (up to ~256 KB). Markdown strips site chrome (nav, footers, cookie banners) by default (only_main_content); pass only_main_content false for the full page.

Inputs: url (required), context (required), mobile, schema, +12 more.

retry_ingest_webhookRetry Ingest WebhookA

Re-deliver the completion webhook of a COMPLETED ingest job.

Use when: the job finished but the webhook endpoint missed it (was down, rejected the delivery, or webhook_delivered is false).

Do NOT use when: the job is not completed yet (409) or has no webhook_url configured (400).

Returns: delivered flag, attempt count, last HTTP status, and a human-readable outcome.

Inputs: job_id (required), context (required).

start_ingestStart Ingest Job (Site to RAG JSONL)A

Turn a website (sitemap/crawl mode) or an explicit URL list (up to 1000) into RAG-ready chunked JSONL: heading-aware chunks compatible with LangChain, LlamaIndex, and vector-DB bulk import. ALWAYS asynchronous: returns a queued job immediately.

Use when: "index this docs site for RAG", building a knowledge base from a site, bulk content pipelines. Renders are credential-free by design (no auth/cookies/headers).

Do NOT use when: a handful of pages read once (use perceive_batch); structured field extraction (use extract_structured); the result is needed synchronously (jobs take minutes).

Returns: job_id (ing_...) with status 'queued'. Poll get_ingest_job, or set webhook_url for HMAC-signed completion delivery. The finished job exposes output_url, a signed link to the JSONL.

Inputs: context (required), url, mode, urls, +11 more.

update_watcherUpdate WatcherA

Change a watcher's cadence, diff mode, tracked fields, webhook, email preference, or pause/resume it (status 'active'/'paused'). Send only the fields to change; at least one is required. Set webhook_url to an empty string "" to remove the webhook.

Use when: pausing/resuming monitoring, tuning check frequency, or changing notification targets.

Do NOT use when: removing the watcher entirely (use delete_watcher). Note: resuming a paused watcher re-checks the plan's watcher cap.

Returns: the updated watcher.

Inputs: context (required), watcher_id (required), status, diff_mode, +4 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    A4.4/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools target clearly distinct operations (one-time render vs batch vs ingest vs watcher), and the retrieval tools are separated by ID type. The main ambiguity is the deliberate overlap between convert_document and convert_anything_to_pdf for office-to-PDF conversions, though the descriptions work hard to disambiguate them.

    Naming Consistency4/5

    The overwhelming majority follow a consistent verb_noun snake_case pattern (perceive_url, create_watcher, get_ingest_job). Minor deviations like web_search instead of search_web, extract_structured lacking a noun, and the convert_anything_to_* forms keep it from being a perfect 5.

    Tool Count3/5

    24 tools is on the heavy side and sits in the borderline 16-25 range, but the count is justified by three distinct sub-domains: web perception/extraction, file conversion, and watcher/job lifecycle management. It feels broad rather than bloated, yet an agent must hold a lot of surface area in mind.

    Completeness4/5

    The toolset covers the core lifecycles well: perceive/batch/extract/ingest/discover for web content, document/image/compress/anything conversions plus job status recovery, and full CRUD plus snapshots for watchers. Minor gaps exist, such as no way to list past conversions or cancel a perceive batch, but agents can work around these.

    Maintenance

    ActivitySlowing
    ResponsivenessOutdated data

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