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

Docket Lens

by Black-Swan-Causal-Labsversion 0.1.0i★ 0iRuns on your computer
Registry namecom.blackswancausallabs/regintel-mcp

Install

Overview

Description from the maker (original English)

Retrieve FDA docket comments, attachments and draft/final guidance for reviewable analysis.

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: Other

Install

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

Before you install

  • Basic checks: 2 of 2 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

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 11, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 13 days ago

  • … 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 Otheri

  • More stars than 0% of the other 19100 servers in this category
  • Published to the registry more recently than 75% of the other 19100 servers in this category
  • Basic checks equal to or better than 100% of the other 19100 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 Docket Lens safe?

It passed 2 of 2 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 13 days ago, and the latest version (0.1.0) reached the registry 13 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

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

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.4KUpdated 5 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

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.

regintel-mcp

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.

LayerComponentStatus
Dataregintel-mcp server (this repo, MIT)Phase 1 built. Fetch, cache, extract, diff. No interpretation.
Methodskills: submitter-taxonomy, comment-theming, draft-final-concordanceBuilt
Orchestration/docket-analysis with 4 human checkpointsBuilt; first run on FDA-2020-D-2307
OutputDocket Lens explorer (reads one analysis.json; PolyForm Noncommercial)Built for FDA-2020-D-2307

Install

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.

Tools

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.

ToolDoes
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 (the explorer)

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).

Hosting a Docket Lens demo (Cloudflare Pages, password-protected)
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.

Status (3 Oct 2026)

  • First full run: FDA-2020-D-2307 (60 comments, 1,211 requests, 4 checkpoints, human spot-check agreement 91% on 55 calls). Outputs in output/FDA-2020-D-2307/, decisions in decisions/.
  • Second-docket smoke test: FDA-2021-D-0548. Retrieval and the draft/final comparison passed without changes; see docs/smoke-test-FDA-2021-D-0548.md.

The concordance caveat

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.

License

Server: MIT (see LICENSE). The Explorer template is licensed separately under PolyForm Noncommercial 1.0.0.

© 2026 Black Swan Causal Labs · https://blackswancausallabs.com

Official MCP Registry packaging

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.