World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
作者提供的说明(英文原文)
Retrieve FDA docket comments, attachments and draft/final guidance for reviewable analysis.
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
用 Docket Lens 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Docket Lens,或回答中出现 Docket Lens 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Docket Lens
Docket Lens 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Docket Lens 的应用
B · 其他 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
Claude Code 暂时无法连接 Docket Lens
开发者只提供了电脑版 Claude 应用的安装文件
A · 使用能连接 Docket Lens 的应用
Cursor 暂时无法连接 Docket Lens
开发者只提供了电脑版 Claude 应用的安装文件
A · 使用能连接 Docket Lens 的应用
VS Code 暂时无法连接 Docket Lens
开发者只提供了电脑版 Claude 应用的安装文件
A · 使用能连接 Docket Lens 的应用
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
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它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日
注册名称已通过域名 blackswancausallabs.com 验证(注册中心会核实域名所有权)
代码最后更新于14天前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
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与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于14天前,最新版本(0.1.0)于14天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:World Monitor, Claude Flow, Tldraw
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Regulatory intelligence from FDA regulations.gov dockets: who commented, what they asked for, and what changed between the draft and final guidance.
Black Swan Causal Labs · blackswancausallabs.com
Retrieval lives in the MCP server. Judgment lives in skills. Humans sit at the checkpoints.
| Layer | Component | Status |
|---|---|---|
| Data | regintel-mcp server (this repo, MIT) | Phase 1 built. Fetch, cache, extract, diff. No interpretation. |
| Method | skills: submitter-taxonomy, comment-theming, draft-final-concordance | Built |
| Orchestration | /docket-analysis with 4 human checkpoints | Built; first run on FDA-2020-D-2307 |
| Output | Docket Lens explorer (reads one analysis.json; PolyForm Noncommercial) | Built for FDA-2020-D-2307 |
Python 3.11 or later.
git clone https://github.com/Black-Swan-Causal-Labs/regintel-mcp.git
cd regintel-mcp python3 -m venv .venv && .venv/bin/pip install -e . cp .env.example .env # then paste your key into .env
API key: get a free key at https://open.gsa.gov/api/regulationsgov/ and put it in .env as REGULATIONS_GOV_API_KEY=.... .env is gitignored. The key is sent only as the X-Api-Key header and never appears in logs, the cache or any output. DEMO_KEY is fine for single lookups but too rate-limited for a full corpus pull. Personal keys allow 1,000 requests/hour.
Register with an MCP client. MCP is an open standard, so the server works with any compatible assistant (Claude, OpenAI Codex, others). For Claude Code, from the repo directory:
claude mcp add regintel-mcp -- "$(pwd)/.venv/bin/python" -m regintel_mcp
When installed as a Claude plugin, .mcp.json starts the server from the plugin root.
Every tool reads the local SQLite cache (data/cache.sqlite) first. It only touches the network on a cache miss or when called with refresh=true.
| Tool | Does |
|---|---|
search_dockets(query, agency="FDA", docket_type?, limit=25) | Keyword search over dockets |
get_docket(docket_id) | Docket metadata and total comment count |
list_documents(docket_id) | Notices, draft and final guidance, meeting material, with every file URL |
list_comments(docket_id, include_withdrawn=false) | All comments, paginated internally. Flags is_stub, duplicate_of and agency_duplicate_count (flags only; nothing is dropped) |
get_comment(comment_id) | Body, submitter fields, attachments and extracted attachment text |
build_corpus(docket_id, with_attachments=true) | Pulls every comment and attachment into the cache. Resumable. Reports stubs, duplicates, OCR needs and failures |
get_guidance_text(ref) | A guidance document (doc ID or URL) split into numbered sections |
diff_guidance(draft_ref, final_ref) | Section-aligned draft-vs-final diff with paragraph changes and moved-paragraph detection |
export_corpus(docket_id) | Writes output/ /corpus.jsonl for skills and subagents |
For long pulls outside a chat: .venv/bin/python -m regintel_mcp build-corpus FDA-2020-D-2307.
How the diff works: the text layer is extracted with pdfplumber. Running headers, draft line numbers, footnotes and the table of contents are removed. Sections are split on the guidance's own Roman, letter and number headings, then matched draft→final by heading (parent-qualified first) and then by heading plus text similarity. Paragraphs are diffed within each matched section, and paragraphs that moved to a different section are labelled. Everything is deterministic: there are no model calls in the server.
API behaviour verified against the live service is recorded in docs/api-notes.md.
Docket Lens (explorer/template.html) is a single page that reads one analysis.json and shows three linked views: who spoke, what they asked for (a themes × submitter-type heatmap that opens the verbatim requests), and what changed (draft vs final by section, with each request's call). Build a docket's copy with:
.venv/bin/python scripts/build_analysis.py FDA-2020-D-2307
.venv/bin/python scripts/build_explorer.py FDA-2020-D-2307
Then open explorer/FDA-2020-D-2307/index.html through any static server, e.g. python3 -m http.server --directory explorer/FDA-2020-D-2307. The explorer is licensed separately under PolyForm Noncommercial 1.0.0 (explorer/LICENSE, explorer/NOTICE).
sh scripts/build_site.sh FDA-2020-D-2307
cd site && npx wrangler pages deploy public --project-name docket-lens
site/functions/_middleware.js puts HTTP Basic Auth in front of every request, including analysis.json. Credentials are Pages secrets, never files: npx wrangler pages secret put DEMO_USER --project-name docket-lens, and the same for DEMO_PASS. If either secret is missing, the site serves nothing (it fails closed). It is a demo gate, not access control for sensitive data.
output/FDA-2020-D-2307/, decisions in decisions/.docs/smoke-test-FDA-2021-D-0548.md.This tool measures concordance, not impact. Changes between draft and final guidance also come from FDA's internal review, ICH M14, other guidances and the evolving science. When the final text moves in the direction a commenter asked for, that does not show the comment caused the change. Every output from this project carries that caveat.
Server: MIT (see LICENSE). The Explorer template is licensed separately under PolyForm Noncommercial 1.0.0.
© 2026 Black Swan Causal Labs · https://blackswancausallabs.com
The Docket Lens retrieval server has an MCP bundle for Registry distribution. See Registry installation and release instructions. The bundle requires uv, your Regulations.gov API key, and a writable working folder.