PeoplePerHour MCP Server and API by Cotlet

Name: PeoplePerHour MCP Server and API by Cotlet
Author: cotletdev

作者：cotletdev版本 1.0.3i★ –i电脑或云端

注册名称dev.cotlet/peopleperhour

安装

概览

作者提供的说明（英文原文）

PeoplePerHour MCP server: search projects, get project brief, search freelancers.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i起步阶段↓ 105/周 · ★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接
PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://cotlet.dev/mcp/v1/peopleperhour/connect

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "peopleperhour": {
      "command": "uvx",
      "args": [
        "peopleperhour-api-mcp",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http peopleperhour https://cotlet.dev/mcp/v1/peopleperhour/connect

或者在你的电脑上运行

claude mcp add peopleperhour -- uvx peopleperhour-api-mcp mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "peopleperhour": {
      "url": "https://cotlet.dev/mcp/v1/peopleperhour/connect"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "peopleperhour": {
      "command": "uvx",
      "args": [
        "peopleperhour-api-mcp",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "peopleperhour": {
      "type": "http",
      "url": "https://cotlet.dev/mcp/v1/peopleperhour/connect"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "peopleperhour": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "peopleperhour-api-mcp",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://cotlet.dev/mcp/v1/peopleperhour/connect

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

服务器要求先登录，才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月10日

✓ 通过
作者与仓库一致
注册名称已通过域名 cotlet.dev 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 434 毫秒内响应（HTTP 401）
✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录，你的 AI 应用可以带你去登录
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5849 个服务器的 0%
发布到注册中心的时间比此分类中其他 5849 个服务器的 99% 更新
基础检查结果等于或优于此分类中其他 5849 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

PeoplePerHour MCP Server and API by Cotlet 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.3）于今天进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

Up-to-date docs for AI agents

作者：upstash广泛使用↓ 97.3万/周★ 6.4万昨天更新

电脑或云端

安装

Codebase Memory

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

作者：DeusData广泛使用↓ 1.8万/周★ 4.8万24天前更新

在你的电脑上运行

安装

Exa

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

作者：exa-labs广泛使用★ 52132个月前更新

在云端运行✓ exa.ai

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

PeoplePerHour API and MCP server: connect PeoplePerHour to ChatGPT and Claude

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.

What you can ask

*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.*

Two ways to get it

	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)

Run it yourself

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:

MCP server for Claude Code, Claude Desktop, Cursor, Codex and any MCP client, over stdio or HTTP. Setup
REST API on http://127.0.0.1:8787/api/v1/peopleperhour, with OpenAPI docs at /docs. Setup
Python: call("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

Questions from PeoplePerHour users
How it works
Requirements
Install
Connect your Chrome
MCP server
REST API
Python and the example scripts
All 17 tools
Configuration
Security and your PeoplePerHour account
Errors
Self-hosted or hosted
FAQ
License

Questions from PeoplePerHour users

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.

How it works

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)

You sign in to PeoplePerHour in your own Chrome, the way you always do. Tick Remember me.
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.
Every tool call is a request to the JSON API the PeoplePerHour site itself calls (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.

Requirements

Python 3.11 or newer.
Google Chrome 144 or newer, signed in to PeoplePerHour. Any Chrome or Chromium works with a debugging port.
macOS, Linux or Windows.
Any PeoplePerHour account. A free buyer account is enough for all 17 tools.

Install

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.

Connect your Chrome

Option A: your everyday Chrome (recommended)

Open 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.
Make sure you are signed in at peopleperhour.com.
Run:

   peopleperhour-mcp connect

Chrome asks whether to allow the connection. Click Allow.

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

只显示了开头部分；其余内容请在仓库中阅读

PeoplePerHour MCP Server and API by Cotlet

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

PeoplePerHour API and MCP server: connect PeoplePerHour to ChatGPT and Claude

What you can ask

Two ways to get it

Run it yourself

Contents

Questions from PeoplePerHour users

How it works

Requirements

Install

Connect your Chrome

Option A: your everyday Chrome (recommended)