"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.

Enables executing any Figma Plugin API code via a single tool, providing full access to Figma node manipulation through natural language.

A configurable proxy that filters GitHub MCP server tools via YAML whitelist, reducing context consumption from 100+ tools to only the ones you need while providing meta-tools to discover available functionality.

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.

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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.

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.

MCP server that provides SQLite database operations. Allows AI assistants to query, modify and manage SQLite databases through the Model Context Protocol.

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

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.