Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools by establishing a common protocol for LLMs to request and receive context.

Question 2

What is the default database type used by the SQLite MCP Server?

Accepted Answer

By default, the server uses an in-memory SQLite database. However, it can be configured to use file-based storage for persistence.

Question 3

What SQL operations are supported by the server?

Accepted Answer

The server supports SELECT, INSERT, UPDATE, and DELETE queries, providing comprehensive data manipulation capabilities.

Question 4

Can I create and manage tables using the server?

Accepted Answer

Yes, the server allows you to create new tables, list existing tables, and describe the schema of a table.

Question 5

How can I deploy the SQLite MCP Server?

Accepted Answer

You can deploy the server using local development, Docker, or Nixpacks, offering flexibility and ease of deployment across different environments.

Question 6

How do I connect to the server in n8n?

Accepted Answer

Use the MCP Client node and configure an SSE connection with the SSE URL and Messages Post Endpoint.

Question 7

What is UBOS and how does it relate to the SQLite MCP Server?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data (including SQLite databases via the MCP server), build custom AI Agents, and create Multi-Agent Systems.

Question 8

Is the SQLite MCP Server open-source?

Accepted Answer

Yes, the server is open-source and available for use and modification under the ISC license.

Question 9

What if I want to contribute to the project?

Accepted Answer

You can contribute by forking the repository, creating a feature branch, committing your changes, and opening a pull request.

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