Mcp Bazel

The Bazel MCP Server is a specialized bridge that lets AI assistants, such as Claude, interact directly with Bazel build systems. By exposing a set of well‑defined tools over the Model Context Protocol, it eliminates the need for developers to manually invoke Bazel commands or parse build outputs. Instead, an assistant can request a build, query dependencies, run tests, and more—all through structured calls that return clean, machine‑readable responses.

At its core, the server offers five primary actions:

• – Triggers a Bazel build for any target you specify, returning status and logs.
• – Retrieves the dependency graph of a target, optionally limiting depth to avoid overwhelming data.
• – Identifies reverse dependencies, showing which targets or files rely on a given component.
• – Lists the source files that belong to a target, useful for code navigation or documentation.
• – Executes tests associated with a target, providing results and coverage information.

These tools are designed to be lightweight yet powerful. Each command accepts simple, JSON‑serializable arguments and returns structured output that an assistant can parse and present to the user. This design makes it trivial for AI‑driven IDEs, code review bots, or build automation workflows to incorporate Bazel operations without embedding the full complexity of the Bazel CLI.

Developers benefit from a number of practical use cases. During pair programming, an assistant can answer questions like “What does depend on?” or “Run the tests for this module and show me failures.” In continuous integration pipelines, a chatbot can trigger builds on demand or surface dependency changes that might affect release schedules. For documentation generation, the tool can help pull in all relevant files for a target, ensuring that generated docs stay up‑to‑date with the codebase.

Integration is straightforward: once the server binary is running, any MCP‑aware client—such as Claude Desktop—can discover and register it automatically. The client sends a tool invocation request, the server executes the corresponding Bazel command, and returns the results. This seamless flow keeps developers in a single environment while still leveraging Bazel’s full power.

What sets the Bazel MCP Server apart is its focused, domain‑specific tooling combined with an open protocol that fits naturally into modern AI workflows. It removes the friction of manual command execution, provides consistent and parseable output, and enables intelligent assistants to become first‑class collaborators in build and test processes.