anydocs
Related Servers
Alternatives to anydocs
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Related Servers
- AlicenseNot gradedqualityAmaintenanceTurns a local folder of documents into a queryable index that an LLM agent can pull from on demand, keeping only a compact table of contents in context. Exposes five tools (index, search, read, grep, neighbours) over a single offline SQLite FTS5 store so the model retrieves exact, citable sections instead of being handed whole files.MIT
- FlicenseNot gradedqualityCmaintenanceEnables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.-
- 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.2241AGPL 3.0
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to search and retrieve past coding-tool conversations across Claude Code, Claude Desktop, Codex, and Cursor through a local, read-only index.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to search and read local Markdown knowledge bases generated by Agent Docs for Markdown, across single or multiple workspaces, including link/backlink discovery and index status checks.1MIT
- FlicenseNot gradedqualityDmaintenanceFull-text search over Claude Code conversation history using SQLite FTS5, exposing indexed transcripts as MCP tools for searching, browsing, and reading turns.4-
TDQS
Scored across 5 tools
All five tools have clearly distinct purposes: search_docs for ranked snippet search, grep_docs for raw regex fallback, read_doc for full page/section reading, list_sources for enumerating documentation sets, and list_pages for mapping pages within a source. No overlap in functionality.
Every tool follows a consistent verb_noun pattern with snake_case (e.g., grep_docs, list_pages, search_docs), making the naming predictable and easy for agents to infer tool behavior.
Five tools is an ideal size for a documentation server: it covers all essential operations (listing, searching, reading) without bloat. Each tool earns its place and the set is well-scoped for the domain.
The tool surface is complete for a read-only documentation server. It provides listing, searching (both standard and regex), and reading capabilities. The inclusion of grep_docs as a last-resort raw search fills a niche gap, and no obvious CRUD operations are missing for this use case.