Enables LLMs to interact with DuckDB databases through MCP tools for SQL queries, table management, data import/export, and schema inspection, with optional read-only mode for safety.
Enables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities through MCP tools. It would be interesting to have LLM analyze it. DuckDB is suitable for local analysis.
Lets an AI assistant explore and query Postgres, DuckDB, or Snowflake with read-only SQL, table and schema discovery, sampling, and explainable guardrails.
Provides MCP tools that help AI agents get their bearings in a codebase with unified SQL views over code, git, docs, and conversations, powered by DuckDB.
A local coverage history server that stores coverage snapshots in DuckDB and provides MCP tools for LLMs to query coverage data without reading large reports.
Persistent memory for AI agents with Ebbinghaus forgetting curve, semantic graph retrieval, and
engineering state tracking. Local-first, DuckDB, zero cloud dependency.
DBCode is a Visual Studio Code extension that allows you to manage many databases, including PostgreSQL, MySQL, SQL Server, DuckDB, Redis, MongoDB, and more.
DBCode offers the option to run an MCP server, providing access to those databases, their schemas, and the ability to execute queries.