MCP

Summary

MCP (Model Context Protocol) is a standard way for AI clients to connect to external tools and data sources.

MCP provides a structured interface so models can discover and call external capabilities.
Shared concept across ecosystems: expose tools/resources to agents through a protocol layer.
Practical benefit: one integration can serve multiple clients if they support MCP.
Differences still exist by client: auth flow, server startup, permissions, and UI exposure.
Security matters: restrict tool scope, protect secrets, and audit what tools can execute.

Connect a local MCP server that exposes filesystem search tools.
Add an MCP server for internal docs so the agent can query team knowledge.
Use MCP to unify access to issue tracker, database read APIs, and deployment metadata.