Docraptor Mcp

io.github.mrfentmen由 GitHub 帳號 mrfentmen 發布v1.0.0更新於 Nov 3, 2026

DocRaptor: render HTML to PDF and XLSX documents through the DocRaptor API.

已驗證STDIO僅桌面檔案與儲存資料與分析

概覽

AI 產生的概覽

DocRaptor MCP 透過 DocRaptor API 把 HTML、網址或表格資料渲染成 PDF 與 XLSX 文件,預設使用測試模式。

可以做什麼
  • 從 HTML 內容或公開網址產生 PDF,從 HTML/類 CSV 內容或網址產生 XLSX 試算表
  • 用本機組出的表頭與列資料產生 XLSX 或帶樣式的 PDF 報告,不必手寫 HTML
  • 把文件送到非同步介面排隊,再查詢工作狀態並從下載網址取回檔案
  • 用一次免費的小型測試渲染確認帳號與金鑰可用,並在渲染前於本機檢查 HTML
  • 先探測一次來源網址,確認渲染服務能否存取它
適用情境
適合需要把 HTML、網頁或表格資料轉成可下載的 PDF 或試算表,或在不安裝本機渲染工具的情況下產生格式化報告的情境。測試模式讓它在消耗額度前可以安全試用。
執行需求
以本機 npm 套件形式透過 stdio 在桌機上執行。它會呼叫 DocRaptor API,因此需要 DocRaptor 帳號與 API 金鑰,並需要網路存取來源網址與該 API。
安裝前請注意
以 test=false 渲染會消耗 DocRaptor 額度;正式產生工具必須傳 confirm=true 才會執行,但其他建立工具可直接接受 test=false。來源網址由 DocRaptor 的伺服器抓取,該網址上可存取的內容會傳送給第三方。README 中「不向呼叫方收費」的說法不適用於這個依賴廠商 API 的伺服器。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Docraptor Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

awesome-servers

One repo for three families of servers, each subtree keeping its own layout and tooling so it can still be built, run and published on its own.

SubtreeWhat it holdsRun one
mcp/338 TypeScript MCP servers, plus 1107 published packages in published/cd mcp/servers/<slug> && npm install && npm run build
acp/79 Python ACP agentspython3 acp/agents/<name>/agent.py
a2a/37 Python A2A servers plus the shared a2a_kitpython3 a2a/servers/<name>/server.py
watchd/a threshold watcher that runs the feeds between editor sessionspython3 watchd/watchd.py --config conditions.json --loop
site/the published site: registry with search, the public-feed atlas, watchd planshttps://mrfentmen.github.io/awesome-servers/

Most servers read public data with no key of their own; the ones wrapping a vendor API take that vendor's key. Nothing in this repo asks a caller to pay. On 2026-10-17 the licence machinery was removed for good: the per-tool src/license.ts gates are gone from the MCP servers, and the A2A and ACP trees no longer carry the hosted licence-gateway half — the skills that used it now answer with an explicit not-implemented stub. Nothing here asks a caller to pay, and nothing they run is refused with a buy link.

Nothing here is generated: each subtree's README says what its servers read, and every server has its own unit tests (mcp/servers/<slug>/tests, acp/agents/<name>/tests, a2a/servers/<name>/tests) plus a live smoke check (tools/smoke*.py, a2a/tools/smoke_all.py).

Novel and original

Nearly all of this is first-of-its-kind work, not a port of an existing catalogue. Before each server or agent was built, it was checked against the official tool lists (the MCP registries, agentclientprotocol.com's agent list and registry) and a live GitHub search for the same domain, and the research logs record what was found and why it still counted as missing — see mcp/MISSING.md, acp/MISSING.md and a2a/docs/. Highlights:

  • The MCP side holds TypeScript servers, one npm package each, and 1039 published packages under published/; mcp/MISSING.md documents the check that preceded every build: what was searched, what was skipped and why the domain still counted as uncovered.
  • On the ACP side there were zero domain agents before this repo — every agent on the official list was a coding agent. These 79 Python agents are the first non-coding ACP agents, and several use protocol surfaces no other agent uses in production (session/request_permission for dataset reads, fs/write_text_file for a briefing file, session/cancel for a conditional watch, image content blocks, a live SSE push feed), each proved-unused in the wild by search at build time. Two more firsts carry their own proof: the orchestrator is an agent whose feeds are agents — it spawns sibling repo agents as real ACP child processes and merges their answers — and the nyc pack is the first multi-agency city surface.
  • acp/MISSING.md doubles as the public-feed atlas: every keyless feed probed live, with its date, what it answered and whether it still works. The published site renders that table at https://mrfentmen.github.io/awesome-servers/atlas.html.
  • The pattern across all three subtrees is the same thesis: wrap one real, keyless public dataset, answer honestly about what the feed did and did not say, and keep the whole thing small, tested and self-contained.

Publishing

  • MCP servers publish from mcp/servers/<slug> (its own package.json, version and README).
  • ACP and A2A servers are repo-run today (Python, no packaging step).

Built on top of it

Creatures that use this corpus as their world live in the sibling repo mrfentmen/superagents (public, with its own claim-check in MISSING.md):

  • polymath — routes your question to the most fitting agents of this repo, spawns each as a real ACP child process, and merges the answers into one brief with per-row citations; a sibling that fails appears as a named row, never silence. Its registry is a data file and its ranking is deterministic word-scoring, not a model opinion.
  • sentry — one plain sentence ("watch air quality in Denver over 150") becomes a tracked watch: a permission-asked protocol write produces the conditions file this repo's watchd/ obeys unchanged, plus the activation lines. Checks it can author today: air thresholds, quake magnitudes within a radius, river gauges at flood stage.
  • fedora hat guy — the persona agent in his own repo mrfentmen/fedora-hat: says "never miss" and means it — one sentence installs the full crown of watches (air + quakes, gauge-named flood) in one permissioned write, and your other questions are forwarded to the siblings above with every row cited.
  • instink — the instinct agent in his own repo mrfentmen/instink: compiles a skill into a reflex — a matcher plus the answer it fires, with hit/miss counters and honest promotion/demotion. The skill doc stays one step away, never deleted.
  • contextink — the context agent in his own repo mrfentmen/contextink: you say "do this" and it acquires the context from the repo, git, and recent files so you don't have to explain it; asks only the minimal high-information-gain questions when acquisition fails.
  • rewind — the replay agent in his own repo mrfentmen/rewind: replays agent runs and mutates one variable to see what would have happened. Replay + mutate + diff for agent traces.
  • scopink — the scope agent in his own repo mrfentmen/scopink: checks if an action is within the scope of what was asked. Detects scope creep in agent plans.
  • curious — the curiosity agent in his own repo mrfentmen/curious: proactively seeks information it doesn't have. Scans for knowledge gaps, seeks answers, learns facts.
  • bored — the idle agent in his own repo mrfentmen/bored: uses idle time productively. Consolidates memories, explores areas, prepares for tasks.

Point the polymath at a checkout of this repo with AWESOME_SERVERS_HOME=$PWD/awesome-servers and it federates across the two repos live.

Published snapshot (published/)

published/ holds one directory per npm package, byte-for-byte what the registry serves: 1039 packages, every version matching npm latest.

  • published/INDEX.md is generated from the tree by python3 scripts/index-published.py.
  • scripts/sync-published-snapshot.py re-downloads every package from npm; run it only when every local fix has been published, because it overwrites dist/ from the tarballs.
  • One package carries a licence gate (MCP_LICENSE_KEY): @mrfentmen/vg-resource-mcp. Another 495 still ship tools that answer Not yet implemented; published/INDEX.md lists every one of them.
  • Every package links to this repo (mrfentmen/awesome-servers) as its source.

servers/ holds the older per-server source that predates the snapshot. Where the two disagree, published/ is what users actually install.

來源:README.md,提交 ee04f93

工具

11

docraptor_create_pdf

Generate ONE PDF from HTML (document_content) or a public URL (document_url). Defaults to test=true (free, watermarked); set test=false only when you mean to spend credits.

輸入參數name必填testtypebase_urlinsecuresave_pathjavascriptdocument_urlhttp_timeoutdocument_content

docraptor_create_xlsx

Generate ONE XLSX spreadsheet from HTML/CSV-ish content or a URL. Test mode by default.

輸入參數name必填testtypebase_urlinsecuresave_pathjavascriptdocument_urlhttp_timeoutdocument_content

docraptor_create_xlsx_from_rows

Build a table from headers + rows locally, then render it as an XLSX. No HTML authoring needed.

輸入參數name必填rows必填testheaderssave_path

docraptor_create_report

Render a styled PDF report from a title, an optional meta line, and a table (headers + rows). The HTML is composed locally, the PDF by DocRaptor. Test mode by default.

輸入參數metarows必填testtitle必填headerssave_path

docraptor_create_async

Queue a document on the async API instead of waiting for bytes: returns a download_url and status_url. Same arguments as create_pdf/create_xlsx; pick type explicitly.

輸入參數name必填testtype必填base_urlinsecuresave_pathjavascriptdocument_urlhttp_timeoutdocument_content

docraptor_async_status

Read the status_url returned by an async create (JSON with the job state).

輸入參數status_url必填

docraptor_async_fetch

Fetch the document bytes from a finished async job (its presigned download_url); save or inline.

輸入參數save_pathdownload_url必填

docraptor_create_production

A real (test=false) render that spends credits. Refuses to run unless confirm=true is passed, so a caller cannot bill you by accident.

輸入參數name必填testtype必填confirm必填base_urlinsecuresave_pathjavascriptdocument_urlhttp_timeoutdocument_content

docraptor_test_ping

Render a tiny free test PDF - a health check that the API key and account work.

無需輸入參數。

docraptor_validate_html

Local sanity checks on HTML before spending a render: required elements, tag balance for common block tags, insecure http:// asset URLs. No API call.

輸入參數html必填

docraptor_check_source_url

GET a document_url once to check the renderer will be able to reach it (status + content type). Cheaper than a failed render.

輸入參數url必填

版本歷史

1
  1. v1.0.0最新Oct 29, 2026

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