What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to LLMs. It defines a common interface for LLMs to request and receive information from various sources.

What types of MCP Servers are available in the UBOS Asset Marketplace?

The UBOS Asset Marketplace offers Reference Servers, Third-Party Servers (official integrations), and Community Servers.

Are Community Servers tested and safe to use?

Community servers are developed and maintained by the community. They are untested and should be used at your own risk.

What are some examples of Reference Servers?

Examples include AWS KB Retrieval, Brave Search, EverArt, Filesystem, Git, GitHub, Google Drive, Google Maps, Memory, PostgreSQL, and more.

What are some examples of Third-Party Servers (Official Integrations)?

Examples include Apify, Axiom, Browserbase, Cloudflare, E2B, Grafana, Integration App, Kagi Search, Oxylabs, Stripe, Tavily, and more.

Can I contribute to the UBOS Asset Marketplace?

Yes, the Model Context Protocol is open source, and contributions are encouraged. See CONTRIBUTING.md for more information.

What is UBOS?

UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform help you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

How does UBOS leverage MCP?

UBOS leverages MCP to enable AI agents to securely and efficiently access the information they need to perform complex tasks, make informed decisions, and drive innovation.

Where can I find more resources on MCP?

Additional resources can be found at modelcontextprotocol.io, GitHub Discussions, and community-driven lists like Awesome MCP Servers.