AgentPM

AgentPM is a Model Context Protocol (MCP) server that transforms the way developers plan and orchestrate software projects. Instead of juggling spreadsheets, ticketing systems, and scattered notes, AgentPM acts as a digital product manager that converses directly with your IDE. By leveraging Claude Sonnet 3.7 and optional Perplexity research, it turns natural‑language prompts into structured project artifacts—requirements documents, task trees, and design guidelines—all delivered as clean Markdown for instant consumption in the editor.

The core value lies in intelligent context management. AgentPM tracks the state of your codebase, automatically pulls relevant documentation through Context7, and supplies the exact snippets or API references a coding assistant needs at any moment. This eliminates the token‑heavy “memory bank” patterns that plague many MCP clients, reducing cost and latency while keeping the assistant focused on the task at hand. The server’s output is inherently human‑readable; no JSON parsing or manual formatting required, which streamlines the developer workflow and allows teams to review plans without leaving their IDE.

Key capabilities include:

• Dynamic task decomposition: Complex features are split into actionable subtasks with explicit dependencies and priorities, enabling true vertical slicing.
• Automated documentation generation: Every requirement or design decision is rendered as Markdown, keeping living docs in sync with code changes.
• Best‑practice enforcement: Built‑in recommendations for TDD, modular architecture, and code quality help maintain high standards without manual oversight.
• Adaptive evolution: As tasks are completed, AgentPM re‑evaluates the backlog, adjusting future work to accommodate implementation drift and emerging constraints.

Real‑world scenarios where AgentPM shines are any project that benefits from a lightweight, AI‑driven PM layer: rapid prototyping of new products, onboarding in large codebases, or continuous delivery pipelines where requirements evolve quickly. Because it plugs directly into MCP‑compatible IDEs—Cursor, Augment, VS Code Copilot, Cline, and Roo—the assistant can surface project context instantly while the developer writes code. This tight integration removes friction between planning and coding, enabling teams to iterate faster, reduce rework, and maintain a single source of truth for both design intent and implementation details.