DataScoop public data
Official UK, US and Australia public datasets as filtered CSV, REST API and MCP for AI agents.
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저장소의 GitHub 스타가 많은 순이에요. 스타는 관심도이지 품질이 아니에요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Official UK, US and Australia public datasets as filtered CSV, REST API and MCP for AI agents.
Schema-aware read/write access to SQL Server through Devart dotConnect ADO.NET data provider.
Pricing/details for a CSV of every FDIC-insured bank's stress metrics from its own Call Report.
Zero-Trust MCP gateway securing internal database tools behind an API key firewall.
AI-powered life cycle assessment and modelling: connect to LCA databases, build and analyze systems
MCP server for PostgreSQL: local, Docker, RDS, Neon, Supabase, or behind an SSH bastion.
Inspect and query MySQL 5.0–5.6; opt-in INSERT/UPDATE/DELETE/DDL. Live-verified 5.0–8.0.
24 checks on the register CSV before it reaches the supervisor — LEI check digits, ISO dates and cod
The AI that understands raw data: Schema over your tables and databases, as MCP tools.
Query GreptimeDB metrics, logs and traces with SQL, TQL and RANGE. Manage pipelines and dashboards.
Governed access to production AI-agent traces in an existing ClickHouse store.
Authoritative JLPT-graded Japanese dataset (kanji, vocab, grammar, history) via MCP and REST.
Detect CMS, ecommerce, analytics, payments and email hosting for every website in a list.
Push rows from a dataset, file or Google Sheet into a Postgres, Supabase, Neon or MySQL table.
Extract text, tables and metadata from every PDF linked in a dataset, CSV or Google Sheet.
Run up to 25 Apify Actors in order in one call, passing each step's dataset to the next.
Compare CSV tables by key; report changes and ambiguous rows. 0.05 USDC on Base via x402.
Sync WHOOP recovery, sleep, strain, and workouts into Postgres and query them from any MCP client.
Web scraping runtime for agents: parsers, scrapes, batches, crons, and SQL databases.
Compare two versions of a JSON row list: what was added, removed or changed, field by field.
GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.
Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.