"Information about SQLite: a lightweight database engine" matching MCP servers:

Enables MCP clients to interact with pre-registered SQLite databases using aliases, supporting schema inspection, read-only queries, and data modification via tools.

Lets AI agents query local SQLite database files read-only using Node's built-in sqlite module, providing tools for listing tables, describing schemas, and running SQL queries.

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.

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Enables SQLite database interactions including querying, updating, and schema management through structured tools.

A lightweight MCP server that provides read-only access to SQLite databases, allowing users to execute SELECT queries, list tables, and describe table schemas.

Read-only SQLite access for AI agents in a single ~1 MB static binary. Query tool with row limits, list_tables, and table schemas exposed as MCP resources. The database is opened read-only, so writes fail at the SQLite layer. No Python, no Node, no runtime to install; SQLite is compiled in. Binaries for Linux, macOS, and Windows.

Enables comprehensive SQLite database operations including CRUD operations, schema management, and meta commands across multiple database files through the Model Context Protocol.

MCP server for exploring SQLite databases, offering tools to list tables, describe table structures, and execute read-only SQL queries.

Enables secure and controlled access to SQLite databases through the Model Context Protocol. Provides comprehensive database operations with granular permissions, SQL injection protection, and audit logging for safe database interactions.

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.

Provides comprehensive SQLite database interaction through MCP, enabling CRUD operations, custom SQL queries, and database exploration.

Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.

Enables AI agents to query and explore SQLite databases through schema inspection, arbitrary SQL execution, and predefined canned queries. Compatible with Datasette metadata for enriching database structure with descriptions.

An MCP server that enables AI agents to interact with SQLite databases by querying schemas, executing SQL, and inspecting table metadata. It supports safe database access through configurable read-only modes, query timeouts, and dry-run execution plans.

A comprehensive Model Context Protocol (MCP) server for SQLite database operations. This server enables AI assistants to interact with SQLite databases through a standardized interface.

Enables AI models to execute SQL queries against a SQLite database and receive results as JSON.

Enables Claude to interact with a SQLite employee database, providing tools for managing employee records, computing statistics, and querying departments through natural language.