hn-mcp
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- AlicenseNot gradedqualityBmaintenanceGives AI agents fast, read-only access to a local knowledge base of Markdown notes and other text documents via a SQLite full-text index. Enables ranked section-level search, reading whole notes or single sections, heading outlines, note listing, and link/backlink navigation without slow disk walks.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceQuery local CSV, Parquet, JSON and TSV files with real SQL via DuckDB. Gives your AI coding tool ground-truth data access instead of hallucinated answers.5MIT
- AlicenseBqualityDmaintenanceEnables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.11MIT
- AlicenseNot gradedqualityBmaintenanceEnables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views.2Apache 2.0
- AlicenseAqualityBmaintenanceLocal index and hybrid search (SQLite FTS5 + on-device vector KNN) over your AI coding-agent conversation history across 11 tools (Claude Code, Codex, Cursor, and more). Exposes search_threads, search_current_project, recent_threads, get_thread, list_tags, and list_open_todos so any agent can recall its own past work.2246AGPL 3.0
- AlicenseAqualityBmaintenanceEnables AI clients to search, read, and analyze a local SQLite knowledge base built from the full public archives of people you follow, bookmark, or subscribe to, with tools for onboarding, querying, and topic tracking.1221 PyPI8MIT
TDQS
Scored across 8 tools
Each tool targets a distinct use case: archived search, live search, term trends, domain stats, on-this-day, thread fetching, raw SQL, and index status. The only real overlap is search_stories vs search_recent (clarified by the 'newer than the local index' note) and run_sql, which can replicate almost any other tool's output but is framed as a custom-analysis escape hatch.
All names are snake_case, but conventions are mixed: verb_noun (search_stories, run_sql, get_thread) alongside noun_noun or descriptive phrases (topic_trend, domain_report, index_status, on_this_day). Still readable and fairly predictable in intent.
Eight tools is well-scoped for an HN analysis server, with each tool covering a genuinely different query shape (keyword, trend, domain, date, SQL, live thread, live search, index health). No filler tools.
The surface covers search, trends, sources, date-based browsing, threads, and raw SQL for custom work. The main gap is an author/user report analogous to domain_report (authors are only reachable via run_sql), plus comments aren't searchable in the index, though get_thread mitigates that.