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You are building developer-productivity tools using the Claude Agent SDK.

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You are building developer-productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools—Read, Write, Bash, Grep, and Glob—and integrates with Model Context Protocol (MCP) servers.

Your productivity agent connects to three MCP servers: an issue tracker with search_issues , get_issue , and create_comment ; a documentation wiki with search_docs , get_page , and list_spaces ; and a database explorer with run_query , get_schema , and list_databases . For cross-system questions such as, “Which database tables are affected by the authentication refactor in PROJ-1234?”, the agent makes eight to ten sequential exploratory calls, lacks visibility into each server’s available content, and exhausts context before completing complex investigations.

What architectural change best leverages MCP capabilities to address these problems?

A.

Add a prepare_investigation tool to each server that accepts a natural-language question and returns relevant summaries.

B.

Consolidate all three systems into one unified MCP server with cross-referencing capabilities.

C.

Expose each server’s content catalog as MCP resources, including issue summaries, documentation hierarchies, and database schemas.

D.

Add an orchestrator that routes each question to one server based on keywords.

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You are building a multi-agent research system using the Claude Agent SDK.
You are building a multi-agent research system using the Claude Agent SDK.
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