Descubre 15 MCPs desarrollados para SQLite.
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 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.
Provides a standardized interface for SQLite database interactions, enabling schema introspection, query execution, and database modifications.
Enables AI assistants to securely interact with SQLite databases, providing a comprehensive set of operations.
Manages SQLite databases with comprehensive features for creation, table operations, data manipulation, backup, recovery, and import/export.
Manages SQLite database operations through an MCP server, enabling LLM agents to perform CRUD actions and query data.
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.
Enables natural language interaction with SQLite databases using a local LLM via Ollama.
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 through a web-based chat interface.
Enables MCP clients to interact with SQLite databases via a standardized JSON-RPC protocol.
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