DEFINITION
An MCP server provides tools, resources, and prompts via the Model Context Protocol (MCP) to AI applications that are compatible. It provides a way for an AI client to search for what capabilities they have access to and ask for any capabilities they can perform using a standardized protocol. An MCP server could provide connections to local files, databases, business applications and more.
Why are they useful?
- Provide a standardized way of communicating with compatible clients.
- Provides access to approved tools.
- Provides access to relevant data.
- Provides a modular approach to integration.
- Can provide access management by enforcing authentication and permissions.
Examples of using MCP servers
- Allow AI assistants to access internal documents.
- Connect LLM applications to databases and approved APIs.
- Provide tools for development.
- Allow AI agents to interact with enterprise systems.
- Provide a standardized integration with compatible AI clients.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
