About Model Context Protocol
Model Context Protocol, or MCP, is an open-source standard for connecting AI applications to external systems. It is often compared to a USB-C port for AI apps, because one standard lets many tools plug into many applications.
What it does
MCP defines a common way for an AI application to reach data sources, tools and workflows. A server can expose local files, databases, search engines or calculators, and a client such as an AI app can use them. It also supports reusable prompts and optional extensions beyond the core protocol.
Key features
- Connects AI apps to local files and databases
- Gives AI access to search engines and calculators
- Shares reusable prompts and workflows
- Optional extensions beyond the core protocol
- Specification and code published on GitHub
Who it's for
Developers who build AI applications or agents, and teams that want their tools to work with many AI apps. End users can also benefit when the apps they use support MCP.
Pricing and good to know
MCP is an open standard, so there is no price to pay for the protocol itself. Costs come from the tools, hosting and AI services you connect to it. The protocol is still changing, so check the current specification before you build against it.
Highlights
- Connects AI apps to local files and databases
- Gives AI access to search engines and calculators
- Shares reusable prompts and workflows
- Optional extensions beyond the core protocol
- Specification and code published on GitHub
