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

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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Exposes self-owned AI agent plugins as tools to Claude Code via a stdio MCP server, allowing Claude to call system info, calculator, or scribe transcriber directly.
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    MIT
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    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.
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    Apache 2.0
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    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.
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    MIT
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    MCP tool server providing SQLite database access for AI agents.
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    MIT
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    A Python-based SQLite MCP server supporting database read/write operations with natural language interaction capabilities, packaged for Docker deployment in stdio mode.
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    MCP server that provides SQLite database operations. Allows AI assistants to query, modify and manage SQLite databases through the Model Context Protocol.
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    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.
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    A universal SQLite database management tool that enables SQL query execution through MCP protocol. Supports SELECT/INSERT/UPDATE/DELETE/CREATE operations with built-in SQL injection protection across stdio, SSE, and streamable-http communication modes.
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    MIT
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    Tracks macros and logs meals via plain language by exposing a local USDA food database as an MCP server.
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    MIT
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    An MCP server that brings difficulty-adaptive, multi-path reasoning to Claude Code. It implements the Actor-Critic-Planner-Reflexion (ACPR) pipeline for deep research synthesis.
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    MIT
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    Enables natural language interaction with local SQLite databases through Claude Desktop, translating plain English queries into SQL for data analysis and exploration.
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    MIT
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    Enables exploring and querying SQLite databases through natural language, with tools to list tables, describe table structures, and run SELECT queries.
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    MIT