Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Search current startup jobs and hiring companies through RocketList's public read-only data.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://rocketlist.ai/mcpRun this in your terminal
claude mcp add --transport http rocketlist https://rocketlist.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"rocketlist": {
"url": "https://rocketlist.ai/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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"rocketlist": {
"type": "http",
"url": "https://rocketlist.ai/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.
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We have not read this server’s tool list yet; we check endpoints in rotation.
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
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.
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.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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.
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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.