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    A Model Context Protocol server that enables AI assistants to interact with SQLite databases by connecting to database files, listing tables, describing schemas, and executing queries.
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    MIT
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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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    Provides persistent memory and knowledge graph capabilities for AI assistants using local SQLite storage. Enables creating, searching, and managing entities, relationships, and observations with vector search support across conversations.
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    MIT
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    A Model Context Protocol server that provides database interaction capabilities through SQLite, enabling users to run SQL queries, analyze business data, and automatically generate business insight memos.
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    19
    MIT
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    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.
    Last updated
    68
    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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    Enables comprehensive SQLite database operations including CRUD operations, schema management, and meta commands across multiple database files through the Model Context Protocol.
    Last updated
    334
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    MIT
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    A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
    Last updated
    86,055
    MIT
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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.
    Last updated
    MIT
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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
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    MIT
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    Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.
    Last updated
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    MIT
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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.
    Last updated
    MIT
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    Provides comprehensive SQLite database interaction for AI agents, including data manipulation, schema inspection, and automated query logging. It features a unique context preservation pattern that uses a dedicated meta-table to help autonomous agents maintain self-documenting database architectures.
    Last updated
    334
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    MIT
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    A read-only SQLite MCP server for remote Linux deployment that provides secure database querying via SELECT statements and table listing. It uses Bearer Token authentication and returns JSON results through Streamable HTTP, designed to run behind Nginx with HTTPS.
    Last updated