Frequently Asked Questions about MCP Servers

Q: What is an MCP Server?

A: MCP stands for Model Context Protocol. An MCP Server facilitates communication between AI models and external data sources by providing a standardized way for applications to provide context to Large Language Models (LLMs).

Q: What databases are supported by the MCP Server?

A: The MCP Server supports a wide range of databases including PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, and Elasticsearch.

Q: How does the MCP Server ensure data security?

A: The MCP Server offers several security features including PII (Personally Identifiable Information) redaction, row-level security (RLS), API key authentication, and OAuth support.

Q: Can I use the MCP Server with my own LLM models?

A: Yes, the MCP Server supports integration with multiple AI providers, including OpenAI, Anthropic, Amazon Bedrock, Google Gemini, and Google VertexAI, as well as self-hosted LLMs through configurable AI endpoints.

Q: Is it possible to customize the behavior of the MCP Server?

A: Absolutely. The MCP Server is highly customizable via YAML configuration and a plugin system, allowing you to tailor its functionality to your specific needs.

Q: What deployment options are available for the MCP Server?

A: You can deploy the MCP Server as a standalone binary, Docker container, or using a Helm chart for Kubernetes, offering flexibility across various environments.

Q: Does the MCP Server provide API documentation?

A: Yes, the MCP Server automatically generates Swagger documentation and OpenAPI 3.1.0 specifications, making it easy for developers to understand and use the API.

Q: How does automatic API generation work?

A: The MCP Server uses LLMs to analyze your database schema and sample data, generating optimized APIs based on your specified prompts.

Q: What is the advantage of using MCP over traditional APIs?

A: MCP is specifically designed for AI agents and LLMs, providing optimized data retrieval, enhanced security features, and simplifies integration. Traditional APIs often lack these specific optimizations.

Q: Does UBOS offer other tools for AI agent development?

A: Yes, UBOS is a full-stack AI Agent Development Platform that allows you to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.