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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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 today
Install
Clover Public
Overview
Description from the maker (original English)
Job search and interview prep MCP. 15 tools, OAuth 2.1, cross-LLM. four-leaf.ai.
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 in the cloud
- Transport: Streamable HTTP
- 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 the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://four-leaf.ai/api/mcpRun this in your terminal
claude mcp add --transport http clover-public https://four-leaf.ai/api/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"clover-public": {
"url": "https://four-leaf.ai/api/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": {
"clover-public": {
"type": "http",
"url": "https://four-leaf.ai/api/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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://four-leaf.ai/api/mcpMenu names can differ slightly by plan and over time.
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
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account fourleafai, 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7254 servers in this category
- Published to the registry more recently than 45% of the other 7254 servers in this category
- Basic checks equal to or better than 100% of the other 7254 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 Clover Public 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 2 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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
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 last month
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.
four-leaf-coach
An open-source Skill that turns Claude (or ChatGPT, Cursor, Codex, GitHub Copilot) into a job search and interview prep coach. It pulls real job postings, role-specific interview intelligence, rubric-scored feedback on practice answers, and resume scoring from the hosted Four-Leaf MCP, then walks the user through preparing for an actual interview.
Free to install and use, including scoring the answers you type. Voice mock interviews (spoken answers, adaptive follow-ups) and full AI resume tailoring live on four-leaf.ai; the Skill surfaces those as an upgrade path when they're the right next step.
What it does
Walks a user through prep for a specific role at a specific company. The Skill greets, asks what they're prepping for, and routes them into one of seven guided workflows. Every workflow pulls live data from the Four-Leaf MCP's fifteen tools (jobs and full postings, role intel, question bank, answer scoring, match scoring, comp research, application tracker) and adds the Skill's coaching on top.
You don't type these as commands. Say what you want in plain language and the coach routes to the right workflow:
- Kickoff the coach reads your application tracker, figures out what you're prepping for, and routes you. Say "help me get ready for my job search" or "where am I with everything".
- Find jobs natural-language search across 140,000+ active postings, then pull up a full posting and save it to your tracker. Say "find me remote senior data scientist roles".
- Prep for a role interview pipeline, what to expect, how to win. Say "what's the interview like for a PM at Stripe".
- Practice calibrated questions, then type your answer and get it scored 1-10 against the same five-dimension rubric the Four-Leaf practice page uses. Say "give me a few hard system design questions".
- Analyze a JD scores a resume against a posting and points out gaps. Say "how does my resume stack up against this JD".
- Negotiate and comp research real numbers from the MCP. Have an offer? It runs a full analysis (total comp, market percentile, red flags, a counter strategy with exact talking points). Just asking what a role pays? It returns a cited salary band from a live web search. Say "they made an offer, help me negotiate", "is this offer any good", or "what's a good salary for a backend engineer in Austin".
- Interview strategy formats, AI interviewers, work trials, signal vs noise. Say "what are AI interviews actually like".
Install
Two steps. The Skill tells your AI tool how to coach. The hosted MCP gives the Skill live data.
Step 1: install the Skill
npx four-leaf-coach addThat's it. The CLI detects your tool (Claude Code, Cursor, Codex, or GitHub Copilot), asks for scope when it matters, and copies the right bundle into the right place. Useful flags:
--toolpick the tool yourself:claude-code,cursor,codex, orgithub-copilot--scopeClaude Code only; where to install--dry-runshow what it would do without writing anything--yesskip confirmation prompts,--forceoverwrite an existing installfour-leaf-coach listshow the supported tools and what's detected in the current directory
Cursor needs the Nightly channel with Settings, Rules, Agent Skills enabled. The other tools work out of the box.
Step 2: install the Four-Leaf MCP for live data
The Skill works in degraded mode (coaching only, no live job data) without the MCP. To get real job search, role intel, answer scoring, and resume scoring, install the hosted MCP:
# Claude Code, Claude Desktop, and any tool that uses claude-mcp configclaude mcp add --transport http four-leaf https://four-leaf.ai/api/mcp
The first tool call opens the browser for OAuth. A free Four-Leaf account works (3-day trial included, no credit card).
For Cursor, ChatGPT Desktop, and other MCP-aware tools, configure the same URL (https://four-leaf.ai/api/mcp) per that tool's MCP setup docs.
Step 3: use it
Once it's installed, just tell the coach what you need in plain language. Say something like "help me prep for a senior software engineer interview at Google" and it takes it from there. There are no subcommands to memorize; the coach routes based on what you ask. (In Claude Code you can also invoke it explicitly with /four-leaf-coach.)
Manual install
If you'd rather not run npx (air-gapped network, or you just want to see what lands where), clone and build the bundles yourself. This is exactly what npx four-leaf-coach add --tool automates.
git clone https://github.com/fourleafai/clover-public.gitcd clover-public npm run build
npm run build reads skills/four-leaf-coach/SKILL.md plus the adjacent references/ tree and writes a dist/ / directory for each supported tool. Then copy your tool's bundle into place:
| Tool | Build output | Copy into place |
|---|---|---|
| Claude Code (global, all projects) | dist/claude-code/ | cp -r dist/claude-code/.claude ~/ |
| Claude Code (single project) | dist/claude-code/ | cp -r dist/claude-code/.claude PROJECT/ (replace PROJECT with your project path) |
| Cursor (Nightly + Agent Skills enabled) | dist/cursor/ | cp -r dist/cursor/.cursor PROJECT/ |
| OpenAI Codex CLI | dist/codex/ | cp -r dist/codex/AGENTS.md dist/codex/references PROJECT/, then run Codex from PROJECT |
| GitHub Copilot | dist/github/ | cp -r dist/github/.github PROJECT/ (flattened single-file variant) |
The GitHub Copilot bundle is a single flattened file (.github/copilot-instructions.md) because Copilot reads one instructions file and doesn't follow references. The build inlines the whole Skill for it. The other three tools follow file references, so they get the source tree as-is.
What's free vs paid
- Free: the Skill itself, and thirteen of the fifteen MCP tools. That's jobs and full postings, role intel, the question bank, answer scoring, match scoring, comp research, and reading and writing your application tracker. Six of them carry a daily cap on a free account (job search 30/day; question generation, answer scoring, match scoring, and the two comp tools 20/day each, on separate counters). The rest are unmetered.
- Paid on [four-leaf.ai](https://four-leaf.ai): two tools. Voice mock interviews with spoken answers and adaptive AI follow-ups, and full AI resume tailoring against a specific JD. A paid plan also lifts the daily caps above. Three options at four-leaf.ai/pricing. 3-day free trial (no card), $5 5-Day Pass, $20/mo Pro. All three give you the same features.
The Skill surfaces these when they're the right next step. It doesn't push.
FAQ
What is four-leaf-coach? An open-source Skill that turns Claude, Cursor, OpenAI Codex, or GitHub Copilot into a job-search and interview-prep coach. The Skill is a structured set of instructions plus reference files that your AI tool loads. It works with the hosted Four-Leaf MCP server for live data (real job postings, role-specific interview intelligence, answer scoring, resume scoring, your application tracker).
How is this different from just prompting Claude for interview prep? Generic prompts produce generic advice. four-leaf-coach calls real tools: search_jobs returns actual apply URLs from 140,000+ active postings and get_job expands one to the full text; match_score runs a real scoring algorithm against your resume; generate_practice_questions produces role-calibrated questions and score_answer grades what you type against a five-dimension rubric; save_application puts a role in your tracker. The Skill orchestrates the calls and coaches around them.
Do I need a Four-Leaf account? For the data tools (jobs, role intel, question bank, answer scoring, match scoring, comp research, application tracker) a free Four-Leaf account works. The 3-day trial requires no credit card. Voice mock interviews and full AI resume tailoring are paid features on four-leaf.ai. The Skill surfaces those as an upgrade path when relevant.
Does the MCP work with ChatGPT? Yes. The MCP is HTTP-based with OAuth, so any MCP-aware client connects: Claude Desktop, Claude Code, Cursor, ChatGPT Desktop (Plus + Dev mode), Cline, Continue, Windsurf. The Skill itself is a Claude / Cursor / Codex / Copilot primitive; ChatGPT doesn't yet have a comparable file-based Skill convention, but the underlying MCP tools work there.
Can I use the Skill without the MCP? Yes, in degraded mode. Without the MCP, the Skill still coaches with structured workflows for prep, practice, JD analysis, and negotiation, just without live job listings, rubric-scored answers, or real resume scoring. Install the MCP to unlock the live data path.
Is the question bank really open? The Skill, the per-tool dist pipeline, and the install CLI are MIT-licensed in this repo. The question bank itself lives behind the MCP today; the open-data play is on the roadmap.
What about Pi, Gemini CLI, OpenCode, Trae, Rovo Dev, Qoder? On the roadmap. The dist pipeline can target any AI tool with a documented Skill or instructions-file convention. PRs welcome.
Repo layout
README.md you are hereLICENSE MIT package.json CLI + build wiring, npm metadata bin/ four-leaf-coach.js the npx four-leaf-coach add CLI scripts/ build.js generates dist/ / bundles from the source below .claude-plugin/ plugin.json manifest for Claude Code plugin marketplace .mcp.json auto-wires the hosted Four-Leaf MCP on plugin install skills/ four-leaf-coach/ SKILL.md entry point your AI tool loads (source of truth) references/ mcp-tools.md reference for the MCP tools upgrade-flow.md paid-tier handling pattern commands/ per-workflow instructions kickoff.md find-jobs.md prep-role.md practice.md analyze-jd.md negotiate-prep.md interview-strategy.md dist/ generated by npm run build (gitignored, not committed)
skills/four-leaf-coach/ is the source of truth. dist/ is generated output, so edit the source and rerun npm run build.
Roadmap
- Registry submissions to every Skill aggregator that ships a public registry.
- Coverage for more tools as their Skill conventions stabilize: Pi, Gemini CLI, OpenCode, Trae, Rovo Dev, Qoder.
Done so far: per-tool dist/ bundles generated from a single source (npm run build), a flattened single-file variant for GitHub Copilot, and the npx four-leaf-coach add one-command installer.
Contributing
PRs welcome that improve a command's coaching, add a new command, or fix a voice issue. Anything that drifts the Skill's positioning away from "coach, not cheat tool" will be declined.
License
MIT. See LICENSE.