Gel Database MCP Server

what is Gel Database MCP Server? The Gel Database MCP Server is a TypeScript-based Model Context Protocol (MCP) server that enables LLM Agents to interact with Gel databases using EdgeQL queries, streamlining database operations and allowing natural language interactions. how to use Gel Database MCP Server? To use the Gel Database MCP Server, follow these steps: Install dependencies using yarn install. Copy your dbschema folder into the project. Initialize a Gel project with npx gel project init. Generate EdgeQL JavaScript query builder files. Update connection settings in the src/index_gel.ts file. Build the project with yarn build. Optionally, test the server runs without errors. Include the gel_llm.txt documentation file for better LLM agent performance. key features of Gel Database MCP Server? Tools for LLM Agents to automate learning about database schema. Query validation to ensure safe execution of EdgeQL queries. Direct execution of EdgeQL queries for data retrieval and operations. Search functionality through Gel documentation for better understanding of EdgeQL syntax and features. use cases of Gel Database MCP Server? Automating database queries through natural language. Validating EdgeQL queries before execution to prevent errors. Learning and understanding database structures for more accurate querying. Searching documentation for specific EdgeQL features or examples. FAQ from Gel Database MCP Server? Can the Gel Database MCP Server work with any LLM? Yes! It is designed to work with any LLM that supports the Model Context Protocol. Is there a specific database structure required? No, but having a well-defined schema will help the LLM agent understand the database better. How do I troubleshoot errors? Use the inspector tool provided in the project to get clearer error logs.

As an MCP (Model Context Protocol) server, Gel Database MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Gel Database MCP Server, follow these steps: Install dependencies using yarn install. Copy your dbschema folder into the project. Initialize a Gel project with npx gel project init. Generate EdgeQL JavaScript query builder files. Update connection settings in the src/index_gel.ts file. Build the project with yarn build. Optionally, test the server runs without errors. Include the gel_llm.txt documentation file for better LLM agent performance. key features of Gel Database MCP Server? Tools for LLM Agents to automate learning about database schema. Query validation to ensure safe execution of EdgeQL queries. Direct execution of EdgeQL queries for data retrieval and operations. Search functionality through Gel documentation for better understanding of EdgeQL syntax and features. use cases of Gel Database MCP Server? Automating database queries through natural language. Validating EdgeQL queries before execution to prevent errors. Learning and understanding database structures for more accurate querying. Searching documentation for specific EdgeQL features or examples. FAQ from Gel Database MCP Server? Can the Gel Database MCP Server work with any LLM? Yes! It is designed to work with any LLM that supports the Model Context Protocol. Is there a specific database structure required? No, but having a well-defined schema will help the LLM agent understand the database better. How do I troubleshoot errors? Use the inspector tool provided in the project to get clearer error logs.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.