Docraptor Mcp

io.github.mrfentmen由 GitHub 账号 mrfentmen 发布v1.0.0更新于 Nov 3, 2026

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

已验证STDIO仅桌面文件与存储数据与分析

概览

AI 生成的概览

DocRaptor MCP 通过 DocRaptor API 把 HTML、网址或表格数据渲染成 PDF 和 XLSX 文档,默认使用测试模式。

可以做什么
  • 从 HTML 内容或公开网址生成 PDF,从 HTML/类 CSV 内容或网址生成 XLSX 表格
  • 用本地拼装的表头和行数据生成 XLSX 或带样式的 PDF 报告,无需手写 HTML
  • 把文档提交到异步接口排队,再查询任务状态并从下载地址取回文件
  • 用一次免费的小测试渲染检查账号与密钥是否可用,并在渲染前本地校验 HTML
  • 先探测一次来源网址,确认渲染服务能否访问它
适用场景
适合需要把 HTML、网页或表格数据转成可下载的 PDF 或电子表格,或在不安装本地渲染工具的情况下生成格式化报告的场景。测试模式让它在消耗额度前可以安全试用。
运行要求
以本地 npm 包形式通过 stdio 在桌面电脑上运行。它会调用 DocRaptor API,因此需要 DocRaptor 账号和 API 密钥,并需要网络访问来源网址和该 API。
安装前请注意
以 test=false 渲染会消耗 DocRaptor 额度;生产工具必须传 confirm=true 才会执行,但其他创建工具可直接接受 test=false。来源网址由 DocRaptor 的服务器抓取,该网址上可访问的内容会发送给第三方。README 中“不向调用方收费”的说法不适用于这个依赖厂商 API 的服务器。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Docraptor Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源: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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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).

输入参数status_url必填

docraptor_async_fetch

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

输入参数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.

输入参数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.

无需输入参数。

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.

输入参数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.

输入参数url必填

版本历史

1
  1. v1.0.0最新Oct 29, 2026

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