Buildable MCP Server

The @bldbl/mcp server bridges AI assistants with Buildable’s AI‑powered development platform, enabling Claude, GPT and other agents to act as first‑class collaborators inside any Buildable project. By exposing the full suite of Buildable’s capabilities through the Model Context Protocol, developers can ask an assistant to retrieve project structure, request the next priority task, or even start a new feature directly from the chat window. This removes the friction of switching contexts between code editors, project dashboards and AI tools, making it possible to iterate on design, architecture or implementation in a single conversational interface.

At its core, the server translates Buildable’s REST API into MCP resources. The assistant can call to pull a snapshot of the repository, dependency graph and build configuration. surfaces the most urgent work item based on task priorities, dependencies and current progress. The , and tools let the AI drive task lifecycle management—creating subtasks, updating status, and marking completion—all while keeping the human team in sync. Discussions can be opened with to surface blockers or ask clarifying questions, and the assistant can monitor live progress through . These tools are fully type‑safe and expose rich metadata, ensuring that developers receive actionable insights rather than opaque status messages.

Real‑world scenarios benefit from this tight integration. A frontend team can ask an assistant to “list all pending UI components that need styling” and receive a ready‑to‑apply task list. A backend engineer might request the “next security audit task” and have the AI automatically create a ticket, assign it to the appropriate reviewer, and set a due date. When a new feature is proposed, the assistant can generate an AI‑crafted build plan, break it into atomic tasks, and schedule them in the project backlog—all without leaving the chat. This accelerates onboarding, reduces context switching, and keeps human developers focused on high‑value decision making.

The MCP server’s design offers unique advantages: it is CLI‑ready for Claude Desktop, ensuring a zero‑configuration experience; it supports real‑time progress tracking so developers see live updates as tasks advance; and its type‑safe API guarantees that the assistant’s responses are structured, predictable and easy to consume programmatically. By embedding Buildable’s intelligence directly into AI workflows, developers can turn conversational prompts into concrete project actions, thereby transforming how teams plan, execute and deliver software.