"Assistance with SQLite Database" matching MCP servers:

MCP server that provides intelligent student assistance tools for academic calculations, attendance tracking, marks analysis, and syllabus reading via Groq LLM.

Read-only MCP server providing Wealthi's AI Coach with scoped access to student progress data from Firestore and Supabase, enabling AI to retrieve student profiles, progress, assessment results, and learning signals without direct database credentials.

Enables 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.

Enables users to ask plain-language linguistic questions about the Hebrew Bible and receive the corresponding MQL query and results from the BHSA database, with the query always visible for verification and citation.

Enables agents to perform spaced-repetition learning with FSRS scheduling, including adding cards, reviewing due cards, and grading recall, using a headless SQLite or Postgres backend.

An MCP server that demonstrates the Model Context Protocol using a mock SQLite database of an online store, offering tools for product search, sales analysis, and reviews, along with resources and prompts for learning MCP integration.

MCP server for ChaosLimba — provides read-only access to the Romanian language learning platform's database via the Model Context Protocol.

Enables AI clients to read DTU Learn classes, assignments, deadlines, exams, and recent calendar changes through a local MCP server, using a cached SQLite store for fast and resilient queries.

Enables AI assistants to fetch Bible verses, passages, and chapters from MyBible-format SQLite databases, supporting multiple translations and clean text output.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

Enables academic paper search and analysis through the AMiner API. Supports keyword, author, and venue-based searches with advanced filtering and citation data for research assistance.

Enables AI agents to access and interact with the Sefaria database of Jewish texts, including retrieval, search, and related content.

Serves the Kengeş lesson archive over stdio or HTTP, exposing local extraction, a prebuilt SQLite index, or a remotely fetched index so clients can search and browse archived records and files. Enables querying, verifying, and retrieving archive content with integrity-checked index updates.

A curated Islamic MCP server for AI agents. It returns Quran verses in Arabic with the Pickthall English translation, 440 du'as with source and grading where recorded, and the 99 Names of Allah. Every response instructs the agent to quote sacred text exactly. The server recognises common crisis and abuse phrasing and returns curated support resources alongside the answer.

Enables retrieving daily hard truths, including today's truth, a random truth, or all 30 day titles, with each truth including a lesson and action step.

An MCP server that provides deterministic math computation (numeric, symbolic, unit, matrix) and hybrid retrieval over study notes/textbooks with citations, helping Claude become a reliable study partner.

An MCP server that enables AI assistants to access and interact with Google Classroom data, allowing users to view courses, course details, and assignments through natural language commands.

Enables ChatGPT to deliver interactive educational exercises with server-side session management, answer validation, justifications, and learning summaries via MCP.

Serves offline, TF-IDF-based tools over local teaching lesson notes, enabling agents to search with citations, list topics, retrieve clip notes, and generate quizzes without cloud or vector database dependencies.