MCP

MCP gives AI assistants controlled access to tools, documents, repositories, and work history, turning repeated copy-paste context into scoped integrations.

• A standard way for AI assistants to use external tools and context sources.
• Useful for search, repository context, internal docs, task systems, and structured actions.
• Turns AI from a blank chat box into a context-aware work surface.

• Do not use when copy-paste is enough.
• Do not use before permissions, scopes, and auditability are clear.
• Do use when repeated tasks need the same trusted data sources or tools.

• Pick one high-value context source.
• Define read-only access before adding write actions.
• Scope tools to the smallest useful permission set.
• Test with realistic questions and failure cases.

• Start with retrieval and inspection before automation.
• Keep tool names and descriptions concrete.
• Log tool usage where actions affect business data.
• Related: Use skills to standardize repeatable AI work