Where does the github daily star history data come from, and what are its limits?

About 850,000 repositories with 50+ stars, with star counts recorded daily: 1-day, 7-day and 30-day gains, and whether a repo just emerged. Continuous daily snapshots start on 2026-10-29; earlier points are backfilled. Stars can be bought — suspicious repos are flagged, but not exhaustively.

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GitHub daily star history: an MCP database you can query from Claude Code or Cursor

Updated daily, last 2026-11-12 · MCP data · lib github

About 850,000 repositories with 50+ stars, with star counts recorded daily: 1-day, 7-day and 30-day gains, and whether a repo just emerged.

What you can ask

Which open-source projects gained the most stars this week, and which are brand new?
When did this repo start growing, and are its stars suspicious?
What new projects are rising in music generation?

These are example phrasings. Once connected, ask in plain language; the agent decides which table to query and how to filter.

Example: a real query and what it returned today

Your agent calls the MCP data tool like this (you never write it yourself — you just ask):

data(lib="github", args="rising --days 7")

Repositories with the largest 7-day star gain, first 8 rows:

full_name	stars	gain_7d	status	age_days	language	suspect
morluto/rea	449543	23090	稳定增长	211	TypeScript	单日涨星超 2 万
storytold/craft-anything	25993	18237	新冒出来	11	Rust
sherlock-project/sherlock	108668	13181	加速	2879	Python
pingdotgg/t3code	55496	11526	稳定增长	276	TypeScript
ccch1mneyyy/dsh-Go	18619	11285	加速	17	Dart
cloudflare/security-audit-skill	69016	10943	稳定增长	146	JavaScript
ClickHouse/ClickStack	10016	9835	加速	364	Shell
Ebony-Vinyl/dsh-our-free-model	68649	9745	稳定增长	48	JavaScript

How fresh the data is

This is today’s output of coverage (row counts and date ranges per table):

t	source	n_rows	n_repos
built_at	2026-11-11T03:47
repo	census	865543	865543
repo	deeply	1072	1072
repo_profile 有 gain_1d		860053
repo_profile 有 gain_30d		16510
repo_profile 有 gain_7d		856190

Limits: what this data cannot tell you

Continuous daily snapshots start on 2026-10-29; earlier points are backfilled. Stars can be bought — suspicious repos are flagged, but not exhaustively.

Connect these databases to your own agent (Claude Code, Cursor, Codex…)

It is a remote MCP server: sign in with Google, paste one prompt and your agent configures itself, then ask in plain language inside your project. Free during beta: 200 queries a day, up to 50 rows each.

Install the skill Or just ask on the web →

FAQ

How do I query it from Claude Code, Cursor or Codex?
It is one library inside the Stringers remote MCP server. Sign in with Google at stringers.io/en/start.html to get a personal URL, paste the prompt to your agent and it configures itself; then just ask — the agent calls the data tool with lib "github".

Is it free?
Free during beta: 200 queries per account per day, up to 50 rows per query.

Workflows that use this database

Find apps and open-source projects that are rising now

GitHub daily star history: an MCP database you can query from Claude Code or Cursor

What you can ask

Example: a real query and what it returned today

How fresh the data is

Limits: what this data cannot tell you

FAQ

Workflows that use this database

Other databases