"sqlite" matching MCP servers:

Production-grade, token-optimized FastMCP SQLite Server with O(1) schema discovery, opcode watchdog, and fuzzy self-healing.

Enables coding agents to query and modify a SQLite database through twelve SQL-based tools, with safety enforced server-side via statement policies, protected tables, result caps, and snapshots. It also provides an append-only, hash-chained memory log with checkpoints so agents can record events and resume context across sessions.

Enables AI assistants to execute arbitrary SQL queries on a local SQLite database via a single execute_sql tool.

Inspects and queries SQLite databases on Android devices via ADB, supporting listing databases/tables, describing schemas, and executing SELECT/INSERT/UPDATE/DELETE queries.

Governed cross-agent memory for coding agents with hybrid retrieval, provenance tracking, and cross-machine sync.

Read-only SQLite database explorer for MCP clients. Allows discovery of tables and columns via resources and running SELECT queries via a tool.

Enables LLM assistants such as Claude Desktop and Cursor to discover database schemas and run strictly read-only SELECT/EXPLAIN queries against local database files. Includes parser- and engine-level blocking of mutations, result truncation to prevent context overflow, and structured error responses that help models self-correct.

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

A zero-config MCP server that enables AI to access, analyze, and manage local SQLite databases with secure read-only querying and automatic schema discovery.

Enables AI agents to explore and query SQLite databases through read-only, sandboxed tools for listing tables, describing schemas, fetching DDL, and running a single capped SELECT statement. Also supports plain-English questions that are converted to SQL and routed through the same sandbox.

Enables direct interaction with SQLite databases over STDIO, allowing querying and management of stock pricing data through MCP.

A Model Context Protocol server that enables SQL operations (SELECT, INSERT, UPDATE, DELETE) and table management through a standardized interface with SQLite databases.

Enables exploration of geographical data including countries, cities, states/provinces, and regions through a SQLite database. Supports searches by name, location coordinates, currency, and regional groupings with comprehensive statistical queries.

A Model Context Protocol server that provides database interaction and business intelligence capabilities through SQLite, enabling SQL queries, data analysis, and automatic generation of business insight memos.

A graph-friendly relational server that stores project memory, tasks, and metadata in a centralized SQLite database as the authoritative source of truth. It enables AI agents to manage complex project states through entity-relationship modeling and can generate human-readable markdown views on demand.

Enables safe, read-only SQL access to SQLite databases for AI agents, allowing schema exploration and SELECT queries with defense-in-depth protections.

Enables AI agents to safely inspect and query an SQLite e-commerce database with tools for listing tables, describing schemas, and running read-only SQL queries while blocking destructive operations.

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.

Local long-term memory shared by every AI coding assistant on one machine: a single SQLite file with FTS5 search and optional multilingual semantic search, no daemon and no cloud.

Read-only-by-default MySQL/MariaDB, PostgreSQL and SQLite access for AI agents: explore schemas and foreign keys, search, sample, query and EXPLAIN with token-efficient TOON output. Writes only when enabled, always previewed and atomic.