grammar-kb-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.5-
- AlicenseNot gradedqualityDmaintenanceEnables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.6MIT
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- FlicenseAqualityCmaintenanceEnables natural-language querying of course, teacher, and assignment information stored in a SQLite database, including fuzzy course search, teacher lookups, weekly schedules, and assignment deadlines.51-
- AlicenseAqualityBmaintenanceEnables searching your local study notes, course code, and lecture PDFs, reading files and PDF pages, registering doubts, and tracking completed lessons. Also provides prompts to generate quizzes and weekly revision plans grounded in your own material with source citations.5ISC
TDQS
Scored across 7 tools
Each tool has a clearly distinct retrieval purpose: search, get by id, get lecture markdown, list lectures, list markers, find by relation, and stats. Overlap between search_knowledge_points and list_markers is minimal because markers are a specific entity type with their own filters.
Most tools follow a consistent verb_noun pattern (search_, get_, list_, find_by_). 'stats' is a minor deviation as a bare noun, but the overall naming remains predictable and readable.
7 tools is well-scoped for a knowledge base retrieval server. Each tool serves a clear function without redundancy, fitting comfortably within the ideal 3-15 range.
Core retrieval operations are covered: search, get by id, get lecture, list lectures, list markers, find by relation, and stats. Minor gaps exist, such as no direct way to list all knowledge points without a search term or to filter markers by lecture, but agents can work around these.