"SQLite" matching MCP servers:

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

Enables AI assistants to explore and query SQLite databases through read-only tools, with defense-in-depth sandboxing preventing any data modifications.

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

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

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.

MCP tool server providing SQLite database access for AI agents.

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

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 users to create, list, update, and delete personal notes stored in SQLite, with OAuth authentication via Stytch and a 30-minute session timeout.

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

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

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.

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.