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

Honeypot

by oidsdevversion 1.0.0i★ –iRuns on your computer
Registry nameio.github.oidsdev/honeypot

Install

Overview

Description from the maker (original English)

Search and browse the Honeypot index of skills for AI agents, with editor's picks.

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: Search & AI memory

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.

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.

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 oidsdev, 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 Search & AI memoryi

  • More stars than 0% of the other 7240 servers in this category
  • Published to the registry more recently than 68% of the other 7240 servers in this category
  • Basic checks equal to or better than 100% of the other 7240 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 Honeypot 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 (1.0.0) reached the registry 18 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

Honeypot

A free index of skills for AI agents. Machine-readable. No sign-up.

Live: https://honeypot-e6c.pages.dev

Fetch it by machine

The index is one JSON file. schema_version is "1"; entries live under .skills.

# everything

curl -sL https://honeypot-e6c.pages.dev/api/skills.json | jq '.skills[] | .name'

one category only (cheaper than filtering client-side)

curl -sL https://honeypot-e6c.pages.dev/api/by-category/trading.json | jq '.skills[] | .name'

install one skill

curl -sL https://honeypot-e6c.pages.dev/api/skills.json \ | jq -r '.skills[] | select(.name=="kalshi") | .install'

then run the command it prints

Linkable searches

The site takes the same filters as URL params, so any view can be shared or bookmarked:

  • ?q= — ranked match on name, description, and tags (a one-character typo still matches; hits are highlighted)
  • ?tag= — exact tag
  • ?category= — exact category

Params combine: https://honeypot-e6c.pages.dev/?category=trading&tag=prediction-markets. Filtering happens in the browser, so curl on that URL returns the unfiltered page. The page ranks matches and tolerates a one-character typo. A script can apply the same category and tag filters, plus a plain substring check, to the JSON:

# substring stand-in for ?q= (the page ranks; this check does not)

curl -sL https://honeypot-e6c.pages.dev/api/skills.json | jq '.skills[] | select(.category=="data") | select(.tags | index("sports-data")) | select((.name+" "+.description+" "+(.tags|join(" "))) | ascii_downcase | contains("odds")) | .name'

Each entry has name, description, category, tags, last_verified (date), skill_md_url, and install. New additions: /api/changelog.json and /feed.xml (RSS).

Editor's picks live at /api/editors-picks.json. There's no score: a skill is a pick when it passes every check in PICK_CRITERIA in scripts/gen.py (description length, tags, verified recently, SKILL.md link). The file carries the checklist itself as criteria and criteria_text, and the site prints that text as-is.

Every card on the site shows its last_verified date. Anything not re-verified in STALE_AFTER_DAYS (180, set in scripts/gen.py and published as stale_after_days in /api/editors-picks.json) gets a "stale" badge and drops out of the picks. Freshness is date-based only; nothing pings the skills. The same JSON is mirrored at https://raw.githubusercontent.com/oidsdev/honeypot/main/api/skills.json.

Submit a skill

  1. Write your skill as a SKILL.md. Start from skill-template.md.
  2. Fork this repo.
  3. Add it at skills/ /SKILL.md.
  4. Lint it from the repo root:
python3 scripts/lint_skill.py skills/<your-skill>

pass is clean. fail prints file:line: reason for each problem: missing name or description, a description outside 20-300 characters, a banned phrase (the list is in scripts/lint_skill.py), or a relative link that does not resolve to a file.

  1. Open a pull request. We merge fast.
  2. Add the badge to your repo:
[![Indexed on Honeypot](https://honeypot-e6c.pages.dev/badge.svg)](https://honeypot-e6c.pages.dev)

Per-skill badges live at /badge/ .svg. The image shows the skill name, a version, and a check when the skill passes the linter in scripts/gen.py.

[![cron on Honeypot](https://honeypot-e6c.pages.dev/badge/cron.svg)](https://honeypot-e6c.pages.dev/skills/cron/)

Version is the optional version field in the SKILL.md frontmatter. With no version, the badge shows last_verified. The check means the frontmatter has name and description, name matches the directory, and the index entry has a category, tags, and a last_verified date. The SVG is static and cached for a day.

Requirements (learned the hard way — PRs missing these get bounced):

  • Frontmatter must include name and description. Directory CLIs (e.g. skills.sh) silently skip files without them.
  • Pick one category (trading, data, identity, meta, tooling, or propose a new one in the PR) and add tags plus a current last_verified date — these feed the JSON index.
  • MIT-compatible license only. We can't index what we can't redistribute.
  • Spam, duplicates, and anything malicious get closed. Every listing is PR-gated and read before it merges.

Layout

  • index.html — the site
  • ja/index.html — Japanese homepage
  • search.js — ranked search used by the site (no dependencies)
  • categories/ / — landing page for each of the largest categories (generated)
  • api/skills.json — the machine-readable index
  • scripts/gen.py — rebuilds everything derived from skills.json (run after any change)
  • scripts/lint_skill.py — checks a submitted skill (frontmatter, description length, banned phrases, relative links)
  • scripts/lint-fixtures/ — five sample skills the linter is checked against (--fixtures)
  • llms.txt — agent-readable description
  • skill-template.md — blank SKILL.md template
  • skills/ /SKILL.md — the indexed skills
  • tests/test_search.js — node tests/test_search.js
  • tests/test_gen.py — python3 -m pytest tests/test_gen.py
  • tests/test_mcp_server.py — python3 tests/test_mcp_server.py
  • badge/ .svg — per-skill badge, written by scripts/gen.py
  • _headers — cache header for /badge/* (one day)

License

MIT — Orbital Desk LLC.

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