SQLite를 위해 구축된 15개의 MCP를 찾아보세요.
Provides safe, read-only access to SQLite databases for exploration and querying by Large Language Models (LLMs).
Provides comprehensive SQLite database operations, enabling AI assistants to interact with local databases safely and efficiently.
Exposes a SQLite database as an MCP server with table schemas, read-only SQL query capabilities, and prompt templates for data analysis.
Provides a standardized interface for SQLite database interactions, enabling schema introspection, query execution, and database modifications.
Provides a Model Context Protocol (MCP) server for managing and analyzing SQLite databases.
Provides a high-performance SQLite server that enables LLMs to execute database operations efficiently through generated Go code or sequential tool calls.
Manages SQLite databases with comprehensive features for creation, table operations, data manipulation, backup, recovery, and import/export.
Enables AI assistants to securely interact with SQLite databases, providing a comprehensive set of operations.
Enables natural language interaction with SQLite databases through a web-based chat interface.
Provides secure and controlled access to SQLite databases through a standardized Model Context Protocol interface.
Provides a Python-based SQLite server implementing the Model Context Protocol (MCP) for database management, supporting read/write operations, concurrency, and natural language interaction.
Manages SQLite database operations through an MCP server, enabling LLM agents to perform CRUD actions and query data.
Facilitates interaction between an Agent Development Kit (ADK) agent and a local SQLite database via a Model Context Protocol (MCP) server.
Enables natural language interaction with SQLite databases using a local LLM via Ollama.
Enables MCP clients to interact with SQLite databases via a standardized JSON-RPC protocol.
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