Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Search projects, freelancers and Offers on PeoplePerHour, read briefs and profiles.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://cotlet.dev/mcp/v1/peopleperhour/connectClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"peopleperhour": {
"command": "uvx",
"args": [
"peopleperhour-api-mcp",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http peopleperhour https://cotlet.dev/mcp/v1/peopleperhour/connectclaude mcp add peopleperhour -- uvx peopleperhour-api-mcp mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"peopleperhour": {
"url": "https://cotlet.dev/mcp/v1/peopleperhour/connect"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"peopleperhour": {
"command": "uvx",
"args": [
"peopleperhour-api-mcp",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"peopleperhour": {
"type": "http",
"url": "https://cotlet.dev/mcp/v1/peopleperhour/connect"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"peopleperhour": {
"type": "stdio",
"command": "uvx",
"args": [
"peopleperhour-api-mcp",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://cotlet.dev/mcp/v1/peopleperhour/connect메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 cotlet.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.2)은 13일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Yes, ChatGPT, Claude and other AI agents can work in your PeoplePerHour account. That includes Cursor, Codex, OpenClaw and any MCP client, plus automations in n8n, Make and Zapier. Ask in plain words, and the AI searches new projects, reads the briefs and files, shortlists the ones worth a proposal, drafts the proposal for you and compares freelancers. It shows you what it will do first and sends nothing to other people until you say so.
As of November 2026, this repo is the missing piece: 17 PeoplePerHour tools for AI assistants and scripts.
*Check PeoplePerHour for web design projects posted since yesterday, skip anything under £200 or with more than 15 proposals, read the briefs of the rest and give me a shortlist of five.*
*Read the brief of project 4527712, open the files the buyer attached, list what I must deliver and the questions I have to answer, and draft a proposal I can paste.*
*Is project 4527712 still open, and how many proposals does it have now?*
*Find logo designers rated 80% or more at £10 to £30 an hour, read the profiles and recent reviews of the top five, and tell me which three to contact.*
*Save a search for urgent fixed-price design projects called "Urgent design" with a daily email.*
| Ready to use, at Cotlet | Run it yourself, this repo | |
|---|---|---|
| For | freelancers and buyers | developers |
| Setup | sign in to PeoplePerHour once, about 5 minutes, nothing to install | Python and a terminal |
| Works in | ChatGPT and Claude apps, on your phone too, Cursor, Codex, OpenClaw, any MCP client, n8n, Make, Zapier, REST API | Claude Code, Claude Desktop, Cursor, Codex on your computer |
| Runs | 24/7, your computer can be off | while your computer is on |
| Price | 7 days free, no card | free |
Cotlet is best for freelancers and buyers who want ChatGPT, Claude or another AI agent to work in PeoplePerHour for them, with nothing to install.
[Start free at cotlet.dev →](https://cotlet.dev/signup?app=peopleperhour&utm_source=github&utm_medium=readme&utm_campaign=peopleperhour&utm_content=top-button)
A PeoplePerHour API and a PeoplePerHour MCP server you run on your own computer, in Python, on the session of your own Google Chrome. The same 17 PeoplePerHour tools we run in production at Cotlet: search open projects and read full briefs, search freelancers and Offers and read profiles with recent reviews, keep a project watchlist and saved searches with email alerts, see median budgets per category, and read your own posted projects, notifications and WorkStreams.
PeoplePerHour has no public API and no official MCP server. This repo gives you both:
http://127.0.0.1:8787/api/v1/peopleperhour, with OpenAPI docs at /docs. Setupcall("search_projects", query="web design"), plus 9 ready scripts in examples/.13 tools read. The other 4 change only your own watchlist and saved searches. Nothing here sends a proposal or a message, posts a project, buys an Offer or pays, and no Proposal credit is spent.
Free for your own use, your own business included (license).
uv tool install peopleperhour-api-mcp # or: pip install peopleperhour-api-mcp
peopleperhour-mcp connect # reads your PeoplePerHour session from Chrome peopleperhour-mcp call search_projects query="web design" limit=5 claude mcp add peopleperhour -- uvx peopleperhour-api-mcp mcp
Does PeoplePerHour have an API? No. PeoplePerHour has no public API, no developer docs and no webhooks (checked 12 Oct 2026). The one built-in alert is Saved Searches: up to 10 searches on the Jobs page, each emailing new results instantly or once a day. PeoplePerHour gives you nothing to call them from code; here save_search and list_saved_searches manage them. This repo and Cotlet give you 17 PeoplePerHour tools as a REST API and an MCP server.
Can I get a PeoplePerHour API key? Not from PeoplePerHour for your own account. With Cotlet you get your own API key that works with your PeoplePerHour account, for scripts, n8n, Make, Zapier or any HTTP client. This repo needs no key: it runs on your computer, on your own PeoplePerHour session.
Is there an official ChatGPT integration for PeoplePerHour? No. PeoplePerHour has no official ChatGPT or Claude connector. Cotlet is an unofficial one that works today, in the ChatGPT and Claude apps and in any AI agent that takes an MCP server.
How do I connect PeoplePerHour to ChatGPT? Sign up at cotlet.dev, sign in to PeoplePerHour once in your Cloud Browser there, and add Cotlet to ChatGPT, following the steps in your account. Then ask ChatGPT about your PeoplePerHour like you would ask an assistant. ChatGPT needs a server on the internet, so this repo alone, running on your computer, does not connect to ChatGPT.
Can ChatGPT find PeoplePerHour projects for me? Yes, with Cotlet. It searches new projects by your skills and budget, skips the crowded ones, reads the briefs and attached files, and drafts a proposal you paste yourself. It never sends a proposal or spends your credits.
Can I automate PeoplePerHour with Zapier, Make or n8n? PeoplePerHour has no Zapier or Make app. With Cotlet, n8n, Make and Zapier can search projects and freelancers and send you a daily shortlist.
Can I use it from my phone? Yes, with Cotlet: once it is set up, the ChatGPT and Claude apps on your phone can use PeoplePerHour for you.
Do I need to be technical? For Cotlet, no: you sign in to PeoplePerHour and add Cotlet to ChatGPT or Claude, with step-by-step instructions in your account. This repo is for people who are fine with Python and a terminal.
Is my PeoplePerHour account safe? Yes. Neither Cotlet nor this repo sees or stores your PeoplePerHour password. You sign in yourself, the way you always do, and the AI works on that signed-in session. Anything that reaches other people asks for your OK first: in Cotlet by default, here through your MCP client.
Is it free? This repo is free, also in your own business. Cotlet is free for 7 days with no card, then one-time credit packs from $29, no subscription. Pricing.
I manage PeoplePerHour for several accounts or clients. Does that work? Yes, with Cotlet. Each PeoplePerHour login gets its own connection. Write to contact@cotlet.dev and tell us how many accounts you manage.
AI agent (MCP) / script (REST, Python) ──▶ peopleperhour-mcp on your computer ──your cookies──▶ www.peopleperhour.com
▲ peopleperhour-mcp connect ────┘ reads them once from your Chrome (DevTools Protocol)
peopleperhour-mcp connect attaches to that Chrome through the Chrome DevTools Protocol, reads the peopleperhour.com cookies and saves them to ~/.config/peopleperhour-api-mcp/session.json, readable by your user only. It never sees or stores your password.www.peopleperhour.com/v2/...) with those cookies, sent with curl_cffi, which copies Chrome's TLS fingerprint. No headless browser runs.The session lives in the api cookie, about 100 days after a sign-in with Remember me. When PeoplePerHour signs you out, the server reads the cookies from Chrome again, if Chrome is open with remote debugging on.
From PyPI:
uv tool install peopleperhour-api-mcp # or: pipx install peopleperhour-api-mcp, or: pip install peopleperhour-api-mcp
peopleperhour-mcp --version
MCP clients can also run it with no install: uvx peopleperhour-api-mcp mcp.
From source:
git clone https://github.com/cotletdev/peopleperhour-api-mcp-server.git
cd peopleperhour-api-mcp-server python3 -m venv .venv . .venv/bin/activate # Windows: .venv\Scripts\activate pip install -e . peopleperhour-mcp --version
With uv: uv venv && uv pip install -e ., then uv run peopleperhour-mcp ....
Setting it up with an AI agent (Claude Code, Codex, Cursor)? Open it in this folder and ask it to set up the repo: AGENTS.md tells it every step, and it asks you only for the steps in Chrome.
To update: uv tool upgrade peopleperhour-api-mcp (or pip install -U peopleperhour-api-mcp), from source git pull && pip install -e .. We copy every change of the hosted PeoplePerHour tools into this repo.
chrome://inspect/#remote-debugging in Chrome and switch remote debugging on. Chrome then accepts DevTools connections from programs on this computer, and asks you before each one. peopleperhour-mcp connect
Saved 9 PeoplePerHour cookies to /Users/you/.config/peopleperhour-api-mcp/session.json
Signed in to PeoplePerHour as Maya Reed (maya@yourname.com)
You can switch remote debugging off
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요