DuckDB MCP Server
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Alternatives to DuckDB MCP Server
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Related Servers
- AlicenseNot gradedqualityAmaintenanceQuery local CSV, Parquet, JSON and TSV files with real SQL via DuckDB. Gives your AI coding tool ground-truth data access instead of hallucinated answers.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables executing SQL queries on DuckDB databases locally or on MotherDuck cloud, with support for multiple databases, read-only mode, and Claude Desktop integration.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query business databases directly via natural language, with enforced read-only access and secure query limits. Supports SQLite and PostgreSQL, and works with any OpenAI-compatible model.0ISC
- AlicenseAqualityDmaintenanceEnables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.13MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to query and explore databases including SQLite, PostgreSQL, MySQL, and SQL Server through a secure, read-only workflow. It provides tools for listing connections, inspecting table schemas, and executing SELECT statements directly within VS Code.1-
- AlicenseAqualityBmaintenanceEnables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.5MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'query' has a clear and distinct purpose for executing queries on the DuckDB database.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'query' follows a simple, clear pattern with no deviations or mixed conventions to evaluate.
A single tool for a database server is too few for the apparent scope, as it lacks basic operations like creating tables, inserting data, or managing connections. This minimal set will likely cause agent failures in handling typical database workflows.
The tool surface is severely incomplete for a database server. It only provides query execution, missing essential CRUD operations (e.g., create, read, update, delete), schema management, and other database functionalities, leading to significant gaps in coverage.