mcp

This MCP server accepts a plain text question about the bands and stages of an imaginary music festival. It then converts that natural language question into a database query, executes the query against a configured data store, and returns a plain text answer describing the results. You can interact with it by starting the server and sending a question like “Which bands are playing on the main stage on Saturday?” The server leverages a query transformation layer to interpret intent (bands, stages, times) and fetch the relevant data, before reformatting the result into a concise, readable response. If you provide questions about schedule, stages, or lineup, it will respond with clear, natural-language answers drawn from the festival data.

What the server can do:

• Interpret questions about festival lineup, stages, and schedules expressed in natural language.
• Translate questions into structured database queries.
• Execute queries against the configured data store and return user-friendly answers.
• Provide consistent, plain-text responses suitable for chat interfaces or simple UIs.

To use it, start the MCP server with the configured command, then send your questions to the server’s input interface (e.g., API endpoint or CLI, depending on deployment). The response will be a readable sentence or two describing the answer to your question.

Prerequisites:

• Node.js (version 14+ recommended)
• npm (Node package manager)
• Access to a data store with festival data (bands, stages, schedules)

1. Clone the repository: git clone https://github.com/your-org/carsten-l-mcp-server.git cd carsten-l-mcp-server

2. Install dependencies: npm install

3. Configure environment:

   • Create a .env file or set environment variables as shown: DB_CONNECTION_STRING=your-database-connection-string DB_NAME=optional-database-name LOG_LEVEL=info

4. Run the server: npm run start or node server.js

5. Optional: build for production if your project uses a build step (consult project scripts).

Note: If the project uses a specific package manager or docker image, adjust commands accordingly.

Environment variables:

• DB_CONNECTION_STRING is required to connect to your data store containing festival data (bands, stages, schedules).
• LOG_LEVEL controls verbosity (debug, info, warn, error).

Common issues:

• Incorrect DB connection string leads to startup failures. Verify credentials and network access.
• If the server starts but returns empty results, ensure the data store contains the expected festival data and that the query translation layer is correctly configured to map natural language to queries.
• Ensure the server has network access to the database and that any firewall rules permit the connection.

Configuration tips:

• Keep the DB_NAME optional unless you manage multiple databases.
• Adjust LOG_LEVEL to help with troubleshooting during development; switch to info or error in production.

If you customize the question patterns, ensure they map to the expected database schema (e.g., fields for band names, stages, dates, and times) so the translation layer can generate accurate queries.