This MCP server implementation provides a bridge between LLM agents and Gel databases, enabling automated schema discovery, query validation, and execution of EdgeQL and TypeScript queries. Developed by Christian561, it leverages the Model Context Protocol SDK and Gel query builder to offer tools for describing database schemas, validating EdgeQL syntax, and executing queries. The server is designed for use cases requiring AI-assisted database interactions, such as automated data analysis, query generation, and database management tasks.
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Helps your LLM agent learn and understand your database structure without having to manually inspect the code. The agent can discover available entity types, their properties, relationships, and constraints to generate more accurate queries.
Helps your LLM agent verify raw EdgeQL query syntax without executing it, allowing safe validation of generated queries before they're run against your database.
Helps your LLM agent directly interact with your database by running raw EdgeQL queries, retrieving data, and performing operations based on your instructions.
Allows your LLM agent to search through the Gel documentation to find relevant information about EdgeQL syntax, features, or examples, returning comprehensive results with context.
Similar to execute-edgeql but used for testing and running Typescript Gel queries made with the query builder syntax, enabling complex queries that require programmatic logic.
