by ktanaka101 · MCP Server · ★ 173
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mcp-server-duckdb 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. Overview This server enables interaction with a DuckDB database through the Model Context Protocol, allowing for database operations like querying, table creation, and schema inspection. Components Resources Currently, no custom resources are implemented. Prompts Currently, no custom prompts are implemented. Tools The server implements the following database interaction tool: query: Execute any SQL query on the DuckDB database Input: (string) - Any valid DuckDB SQL statement Output: Query results as text (or success message for operations like CREATE/INSERT) [!NOTE] The server provides a single unified function rather than separate specialized functions, as modern LLMs can generate appropriate SQL for any
| Stars | 173 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 79.9804328849752/100 |
| Open Issues | 5 |
| Last Updated | 2025-05-05 |
| Created | 2024-11-30 |
| Platforms | mcp, python |
| Est. Tokens | ~5k |
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mcp-server-duckdb is A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities. It is categorized as a MCP Server with 173 GitHub stars.
mcp-server-duckdb is primarily written in Python. It covers topics such as duckdb, mcp, mcp-server.
You can find installation instructions and usage details in the mcp-server-duckdb GitHub repository at github.com/ktanaka101/mcp-server-duckdb. The project has 173 stars and 22 forks, indicating an active community.
mcp-server-duckdb is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-duckdb on Agent Skills Hub include flapi, orionbelt-semantic-layer, mcp-duckdb-memory-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.