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Gel Database MCP Server

@MCP-Mirror

Overview

what is Gel Database MCP Server?

The Gel Database MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed to streamline Gel database operations using EdgeQL queries. It provides tools for LLM agents to automate learning about database schemas and executing queries through natural language.

how to use Gel Database MCP Server?

To use the Gel Database MCP Server, follow these steps:

  1. Install dependencies using yarn install.
  2. Copy your dbschema folder into the project.
  3. Initialize a Gel project with npx gel project init.
  4. Generate EdgeQL JavaScript query builder files.
  5. Update connection settings in the src/index_gel.ts file.
  6. Build the project with yarn build.
  7. Optionally, test the server runs without errors.
  8. Include the Gel documentation file for better LLM agent performance.

key features of Gel Database MCP Server?

  • Describe schema tool for LLM agents to understand database structure.
  • Validate query tool for checking EdgeQL syntax without execution.
  • Execute EdgeQL tool for running queries and retrieving data.
  • Search Gel documentation tool for finding relevant information about EdgeQL syntax and features.

use cases of Gel Database MCP Server?

  1. Automating database queries using natural language.
  2. Assisting LLM agents in understanding complex database schemas.
  3. Validating and executing EdgeQL queries safely.
  4. Searching documentation for EdgeQL syntax and examples.

FAQ from Gel Database MCP Server?

  • Can this server work with any LLM agent?

Yes, it has been primarily tested with Cursor's agent but should work with other agents supporting the Model Context Protocol.

  • Is there a way to validate queries before execution?

Yes, the validate-query tool allows you to check the syntax of EdgeQL queries without executing them.

  • How can I improve the performance of my LLM agent?

Including the Gel documentation file in your project root and using the search-gel-docs tool for targeted queries can enhance performance.

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