What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge between AI models and external data sources and tools. It allows AI models to access and interact with these resources in a structured and consistent manner.

How does the UBOS MCP Server simplify prompt management?

The UBOS MCP Server provides a centralized, file-based prompt registry, storing all prompts in a single directory. This eliminates scattered files, enables version control, and promotes prompt reuse.

What file format does the MCP Server use for prompts?

The MCP Server uses JSON (JavaScript Object Notation) for storing prompts. JSON is a human-readable and machine-parsable format, making it easy to manage and integrate prompts.

What are the key features of the UBOS MCP Server?

Key features include a single prompt storage directory, file-based simplicity, MCP compliance, management via MCP tools, a stdio interface, template variable support, and Zod schema validation.

How do I install the UBOS MCP Server?

You can install the MCP Server using the published NPM package, manually from the local source, or using Docker. Detailed instructions are available in the product documentation.

Can I integrate the MCP Server with Claude Desktop or Amazon Q?

Yes, the MCP Server is MCP-compliant and can be seamlessly integrated with MCP-compliant clients like Claude Desktop and Amazon Q.

What is the purpose of template variables in prompts?

Template variables allow you to create dynamic prompts that adapt to different contexts. This eliminates the need to hardcode values directly into your prompts and enables more flexible AI agents.

What management tools are available with the UBOS MCP Server?

The MCP Server provides tools for adding, retrieving, updating, deleting, and filtering prompts. These tools empower you to manage your prompts programmatically.

How does the UBOS MCP Server integrate with the UBOS platform?

The MCP Server enhances the UBOS platform by providing a centralized prompt management solution for AI agent development. It can be used to orchestrate AI agents, connect to enterprise data, build custom AI agents, and develop multi-agent systems.

What are some potential use cases for the UBOS MCP Server?

The MCP Server can be used in a wide range of AI agent development scenarios, including customer support agents, sales agents, content creation agents, and code generation agents.

What is the Stdio Interface?

It is used for local development and integration with CLIs or desktop AI assistants that support MCP(Model Context Protocol).

How can I run the Docker container?

Run the command: docker run -i -t --rm mcp-promptregistry

What are the available management tools?

add_prompt, get_prompt_file_content, update_prompt, delete_prompt, filter_prompts_by_tags, load_default_prompts