Open-source B2B and marketplace ecommerce; new stores include an MCP server for AI agents.
Fedregister
Overview
Description from the maker (original English)
Search the Federal Register: rules, notices, executive orders, comment deadlines, FAR cases.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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: Online shops & payments
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"fedregister": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fedregister",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add fedregister -- npx -y @reneturcios/fedregister mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fedregister": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fedregister",
"mcp"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"fedregister": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/fedregister",
"mcp"
]
}
}
}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.
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … 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 Online shops & paymentsi
- More stars than 0% of the other 1741 servers in this category
- Published to the registry more recently than 87% of the other 1741 servers in this category
- Basic checks equal to or better than 100% of the other 1741 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 Fedregister safe?
It passed 1 of 1 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 –, and the latest version (0.1.0) reached the registry 3 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
What can I use instead?
In the same category: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Stripe MCP
Stripe’s official server lets AI view and manage customers, products, payments and invoices. Connect to Stripe’s cloud and sign in with OAuth.
MCP Cn Commerce
8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending
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.
fedregister
The Federal Register is where the United States government publishes what it is about to do and what it has done: final rules, proposed rules open for public comment, notices, and presidential documents. fedregister wraps the Register's public API v1 in a small CLI and a stdio MCP server, so a person — or an agent — can search that record, watch comment deadlines, and pull the history of a rulemaking without scraping web pages. The API is public and keyless; no account or token is needed.
What the eight tools do:
search_documents— search everything published since 1994. Flat arguments (term, document types, agencies, docket id, regulation id number, CFR title/part, sections, topics, significance, publication and effective date bounds, paging, ordering, field selection) are translated into the API'sconditions[...]query parameters.get_document— fetch one document by its document number.get_documents_batch— fetch up to 20 documents in a single call.get_facet_counts— counts of matching documents grouped by a facet: a document field such as type, agency, or topic, or a time bucket from daily through yearly.get_public_inspection— search the pre-publication filings currently on public inspection, including theavailable_ondate and thespecial_filingflag.list_agencies— every agency that publishes in the Register.open_comment_periods— a labelled composition: it pages through recent documents (a scan window reaching 120 days back, at most 5 pages of 1000), keeps the ones whose comment period is still open, and returns them sorted by deadline as{results, complete, truncated}, wherecompletesays whether the whole scan window was read andtruncatedwhether thelimit(default 50) cut the list.far_case_history— a labelled composition: the full document history of a FAR/DFARS case, searched by case number in chronological order, from the proposed rule through the final rule.
Two behaviours are worth knowing about:
- Client-side comment-date filters (labelled). The API publishes no comment-date search condition, so
search_documents' optionalcomment_date_gte/comment_date_ltearguments are applied locally, after the response arrives: documents whosecomments_close_onis null or outside the range are dropped from the returned page, and the rest of the response envelope is returned unchanged. Every other search result is the upstream JSON verbatim. - Pacing. Requests are polite by design: at least 300 ms pass between request starts, and if the API answers HTTP 429 the client waits the
Retry-Afterinterval (60 seconds by default) and retries the same request once before reporting an error.
The API base URL defaults to https://www.federalregister.gov/api/v1 and can be overridden with the FEDERAL_REGISTER_API_BASE environment variable.
CLI
Each tool is a subcommand taking one JSON argument string (list_agencies takes none):
npx @reneturcios/fedregister search_documents '{"term":"endangered species","type":["PRORULE"],"comment_date_gte":"2026-11-01"}'
npx @reneturcios/fedregister get_document '{"document_number":"2026-12345"}' npx @reneturcios/fedregister get_documents_batch '{"document_numbers":["2026-12345","2026-12346"]}' npx @reneturcios/fedregister get_facet_counts '{"facet":"monthly","term":"climate"}' npx @reneturcios/fedregister get_public_inspection '{"special_filing":true}' npx @reneturcios/fedregister list_agencies npx @reneturcios/fedregister open_comment_periods '{"limit":10}' npx @reneturcios/fedregister far_case_history '{"case_number":"FAR Case 2023-008"}' npx @reneturcios/fedregister --version
Output is the tool's result text (the upstream JSON, or a composition's JSON). Exit codes: 0 on success, 1 on a runtime error (including a validation or upstream failure), 2 on a usage error.
MCP server
npx -y @reneturcios/fedregister mcp
MCP client config:
{
"mcpServers": { "fedregister": { "command": "npx", "args": ["-y", "@reneturcios/fedregister", "mcp"] } } }
Docker
docker run -i ghcr.io/cloudcorprecords/fedregister
docker run --rm ghcr.io/cloudcorprecords/fedregister list_agencies
Development
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch + fake clock + fake sleep, no network) npm run dev # run the CLI from source
License
MIT — Copyright (c) 2026 Rene Turcios