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What is MCP? Model Context Protocol explained
Evidence-backed introduction to Model Context Protocol, its client-server model and the prompts, resources and tools primitives.
Direct answer
Model Context Protocol (MCP) is an open protocol for connecting AI applications and agents with external data sources, tools and apps. MCP servers can expose prompts, resources and tools; clients connect those server capabilities to an AI application. This definition is based on the official MCP documentation.
Last reviewed 2026-08-23
The basic MCP architecture
MCP separates the AI application from external integrations through a protocol boundary. A client inside the AI application connects to one or more MCP servers, and each server advertises the capabilities it supports.
This does not mean every server is automatically trustworthy. Authentication, authorization, scope, tool permissions and human approval remain deployment concerns.
Three server primitives
- Prompts — server-provided templates or instructions that a client can expose to users.
- Resources — structured contextual data such as files, database schemas or application information.
- Tools — executable functions that let a model interact with external systems, subject to the host application's controls.
How BestAIAgent.in treats MCP servers
A server detail page does not become indexable merely because a repository or product page exists. The clean catalog requires a canonical upstream and hashed primary evidence before promoting an MCP detail route into the public sitemap.
That fail-closed rule is why the current MCP sitemap contains hubs while legacy server details remain noindex until qualified.
Primary-source evidence
protocol-identity · verified
Publisher: Model Context Protocol · Retrieved 2026-08-23
sha256:893f8ad450ff76675b068d08a9eb98daef0fe7dc01e90f17c82d2795c86fe287Volatile facts such as pricing should be checked at the first-party source before purchase or deployment.