About MCP servers in Knowledge Catalog
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Model Context Protocol
(MCP) standardizes how large language models (LLMs) and AI applications or
agents connect to external data sources. MCP servers let you use their tools,
resources, and prompts to take actions and get updated data from their backend
service.
What's the difference between local and remote MCP servers?
Local MCP servers
Typically run on your local machine and use the standard input
and output streams (stdio) for communication between services on the same
device.
Remote MCP servers
Run on the service's infrastructure and offer an HTTP
endpoint to AI applications for communication between the AI MCP client and
the MCP server. For more information about MCP architecture, see
MCP architecture.
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