Context7
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作者提供的说明(英文原文)
Search current startup jobs and hiring companies through RocketList's public read-only data.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
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:
https://rocketlist.ai/mcp在终端中运行这条命令
claude mcp add --transport http rocketlist https://rocketlist.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"rocketlist": {
"url": "https://rocketlist.ai/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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"rocketlist": {
"type": "http",
"url": "https://rocketlist.ai/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:
https://rocketlist.ai/mcp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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 rocketlist.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在 1 项适用的基础检查中通过了 1 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。
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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于2个月前进入注册中心。
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。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
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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。
The open data layer for startup hiring. Updated every day by [RocketList](https://rocketlist.ai).
Live roles from funded startups around the world, normalized into one documented dataset for job seekers, researchers, developers, and AI agents.
109,695 active jobs · 7,297 companies · generated 2026-10-27 09:49:00 UTC
Top locations in this snapshot: Albania: 5 · Algeria: 8 · Argentina: 193 · Australia: 899 · Austria: 131.
| Dataset | Parquet | JSONL | CSV |
|---|---|---|---|
| Jobs | jobs.parquet | jobs.jsonl.gz | jobs.csv.gz |
| Companies | companies.parquet | companies.jsonl.gz | companies.csv.gz |
The full snapshot lives in the stable latest release, not Git history. SHA-256 checksums, generation metadata, and the complete audit result ship beside every snapshot.
wget https://github.com/rocketlist-ai/startup-jobs/releases/latest/download/jobs.parquet
import pandas as pd
jobs = pd.read_parquet( "https://github.com/rocketlist-ai/startup-jobs/releases/latest/download/jobs.parquet" )
berlin_ai = jobs[ jobs["city"].fillna("").str.contains("Berlin", case=False) & jobs["category"].fillna("").str.contains("AI|Data|Engineering", case=False) ] print(berlin_ai[["company_name", "title", "url"]].head(20))
The jobs dataset contains factual discovery metadata: company, title, normalized role and seniority, location, compensation when explicitly available, skills, canonical application URL, source platform, and first/last-seen timestamps. The companies dataset adds stage, funding, investors, industry, headquarters, and careers URLs where available.
Schemas are versioned in schema/jobs.schema.json and schema/companies.schema.json. A browsable 100-record sample is committed under sample/, while daily aggregate changes live under changes/. See the public methodology and quality checks for provenance, denominators, audit guarantees, and limitations.
The exporter uses an explicit allowlist and the audit fails if a forbidden field appears.
Install the user-facing RocketList skill in Claude Code, Codex, Cursor, or another compatible agent:
npx skills add rocketlist-ai/startup-jobs --skill rocketlist-job-search
It searches and filters the current snapshot, handles CV-to-role matching, and links users directly to applications. The bundle is also readable at skills/rocketlist-job-search, so any agent can follow it without an installer.
The accompanying distribution loop explains how the dataset, skill, search pages, and recurring data stories compound into discoverability and traffic.
For bulk analysis, give an agent the Parquet URL and the relevant schema. For lower-latency conversational search, connect the RocketList MCP when available:
https://rocketlist.ai/mcp
Its official MCP Registry manifest is versioned in server.json.
Example prompt:
Use the RocketList dataset to find active Series A–C companies in Berlin hiring product managers. Return the canonical application links and explain the filters you applied.
The workflow runs daily at 04:17 UTC:
latest release.No credentials are required to reproduce the export:
python -m pip install -r requirements.txt
python scripts/export_dataset.py python scripts/audit_dataset.py
RocketList aggregates company career pages and ATS sources. A listed role can close between daily refreshes; the canonical application page is authoritative. Coverage varies by employer, country, and field, and missing values are never imputed for public statistics. See stats/latest.json for field-level denominators.
The dataset is available under ODC-BY 1.0; code is MIT licensed. Attribute RocketList with links to https://rocketlist.ai and this repository. Employer names and trademarks belong to their respective owners, and source postings remain subject to their publishers' terms.
Open an issue for a missing company, stale role, broken URL, or schema problem. See CONTRIBUTING.md for the data-safety rules.