"sqlite" matching MCP servers:

Enables Claude to safely explore and query a SQLite database through natural language, including listing tables, inspecting schemas, and running read-only SELECT queries.

Enables exploring and querying SQLite databases through natural language, with tools to list tables, describe table structures, and run SELECT queries.

Offline RAG MCP server that indexes documents into SQLite with hybrid vector and lexical search, and enables natural language queries via Claude.

Provides persistent memory, skill tracking, failure indexing, and context sharing for Claude Code using SQLite with FTS5 full-text search.

A personal knowledge graph and memory system for AI assistants using SQLite with FTS5 full-text search, enabling persistent memory across conversations with Claude or any MCP-compatible AI.

Implements a Model Context Protocol server that enables natural language interactions with SQLite databases, providing tools to list tables, retrieve schemas, count rows, and execute read-only SQL queries.

Enables natural language interaction with local SQLite databases through Claude Desktop, translating plain English queries into SQL for data analysis and exploration.

Enables querying and managing a SQLite database using natural language, with an MCP server and Groq LLM.

Enables querying log data stored in SQLite databases through the Model Context Protocol, allowing natural language interactions with log analysis.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

locidx

Provides 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.

MCP server that exposes tools for natural-language querying of the Chinook SQLite database, enabling agents to discover schema and execute read-only SQL queries dynamically.

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

Provides AI agents with version-pinned NVIDIA CUDA-Q documentation, API reference, and runnable examples via MCP, using offline SQLite full-text search. It resolves docs to match the installed cudaq package to avoid version skew.

Enables 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.

MCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.

Enables searching the Kakao Daum Book Search API by title, author, publisher, or ISBN, retrieving detailed bibliographic and pricing metadata, and exporting results to xlsx, csv, json, or sqlite through MCP or CLI.

Enables fast, low-token code search for AI coding agents via a local BM25 engine built on SQLite FTS5, with support for camelCase, snake_case, and Japanese text. Provides a stateless MCP stdio server and a Hermes adapter for multi-agent environments.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.