MCP Spark Documentation Server
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- AlicenseAqualityBmaintenanceProvides fast, token-efficient search over coding agent documentation (e.g., Claude Code, Cursor) using local SQLite FTS5 indexing, with tools for searching snippets, reading pages, and grepping markdown.5MIT
- AlicenseAqualityDmaintenanceProvides tools to search and retrieve Google Gemini API documentation with full-text search capabilities and automatic documentation updates stored in a local SQLite database.3101MIT
- AlicenseAqualityCmaintenanceEnables AI agents to search a local folder of Markdown, AsciiDoc, and text files through a SQLite FTS5 keyword index, returning the most relevant sections with file paths, line ranges, and heading breadcrumbs instead of grepping through a repo. It also exposes tools to list indexed documents and refresh the index incrementally, all offline with no dependencies, network calls, or embeddings.3MIT
- AlicenseNot gradedqualityAmaintenanceEnables agents to run full-text search inside Word, PowerPoint, Excel, PDF, and plain-text files by extracting their contents into a single local SQLite FTS5 index. Exposes tools to search documents with ranked highlighted snippets and human-readable locators, list indexed files, and incrementally build or refresh the index.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to run incremental SQLite FTS5 full-text search over explicitly configured local workspace roots, covering Markdown, code, PDF, DOCX, XLSX, CSV and HTML with BM25 ranking, Chinese bigrams, and phrase, prefix, path, type and date filters. Exposes search, safe root-confined reads with line/page/sheet locations, recent-file listing, and reindexing as MCP tools so assistants can locate and quote source content without network or account access.MIT
- 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
TDQS
Scored across 2 tools
search_documentation and read_documentation have clearly complementary, non-overlapping purposes: one finds pages, the other fetches a specific page's content. An agent can trivially pick the right one based on whether it has a page identifier or only a query.
Both tools follow the same snake_case verb_noun pattern (search_documentation, read_documentation), with consistent verb style and a shared noun suffix.
Two tools is a tight, purposeful surface for a documentation-lookup server, with no redundancy. It is slightly thin — discovery aids like listing pages or versions are absent — but nothing feels gratuitous.
Search-then-read covers the core documentation workflow end to end, with no dead ends for locating and consuming content. Minor gaps exist around browsing structure (listing available pages, versions, or sections), which the search tool partially compensates for.