Model Context Protocol (MCP)
Definition
MCP is a protocol that allows AI applications to connect tools and data sources in a uniform manner.
Open communication standard for the structured connection of language models with local or external data sources and tools.
Simply explained
Like a common connection between assistant and approved tools.
Why it matters in practice
Important for controlled processes with clear rights, audits and responsibilities.
Example from business
Possible example: An internal assistant reads with limited rights from a knowledge source.
Limits and pitfalls
- Equate protocol support with secure authorization or data sharing.
Origin & history
Anthropic introduced the Model Context Protocol on November 25, 2024. The open specification is further developed; implementations must fit the protocol version used.
Use in mid-sized companies
- Possible application in SMEs: An internal assistant reads with limited rights from a knowledge source.
Frequently asked questions
What does Model Context Protocol (MCP) mean?
MCP is a protocol that allows AI applications to connect tools and data sources in a uniform manner.
What errors should be avoided?
Equate protocol support with secure authorization or data sharing.
Sources
- Introducing the Model Context Protocol (25.11.2024) · Anthropic, Introducing the Model Context Protocol (25.11.2024)
- offizielle Protokolldokumentation · MCP, offizielle Protokolldokumentation
Sources checked on 09.10.2026. Editorial use cases are hypothetical; no evidence of real customer results.
Editorially reviewed on: