Dev Kit MCP Server

The Dev‑Kit MCP Server is a lightweight, FastMCP‑powered service designed to bridge the gap between AI assistants and real-world development environments. It gives an assistant like Claude or Copilot a sandboxed, secure interface to the file system and build tools of a project. By exposing a curated set of operations—file manipulation, Makefile execution, and Git commands—the server lets developers delegate routine or potentially risky tasks to an AI without exposing the entire repository or shell.

What problem does it solve? In many modern workflows, a developer’s IDE is augmented by AI helpers that suggest code changes or automate builds. However, the assistant typically cannot interact directly with the underlying project unless a dedicated protocol is in place. The Dev‑Kit MCP Server provides that protocol layer: it listens for MCP requests, validates them against a root‑directory scope, and executes the requested action. This ensures that the AI can only touch files it is allowed to, preventing accidental overwrites or malicious modifications.

Key features are intentionally focused on practical developer needs:

• Scoped file operations: Create, move, rename, and delete files or directories inside a single authorized directory.
• Makefile command execution: Run any target defined in the project’s Makefile, enabling build, test, or deployment steps to be triggered from an assistant.
• Git integration: Simple Git actions—status, add, commit, push, pull, checkout—allow the AI to manage version control directly.
• Extensible tool framework: New operations can be added by implementing additional MCP tools, making the server future‑proof as workflows evolve.
• Fast performance: Built on FastMCP, the server handles concurrent requests with minimal latency, keeping IDE interactions snappy.

Real‑world scenarios include a VS Code Copilot session where the assistant suggests adding a new module. The developer can ask the AI to “create a directory, add an empty , and commit the change.” The server translates this into a series of file operations, Makefile runs (if needed), and Git commits—all without leaving the editor. In CI/CD pipelines, a scripted AI can run tests via Make and push results back to the repository automatically. For educational settings, students can experiment with AI‑driven code modifications while the server enforces directory boundaries.

Because the server is MCP‑compliant, it plugs into any AI platform that supports the protocol. Developers simply point their assistant at the server’s URL, and from there the AI can request operations as if it were a native extension. The combination of security, simplicity, and extensibility makes the Dev‑Kit MCP Server an indispensable tool for teams looking to harness AI assistance without compromising control over their codebase.