Bazel MCP Server
Exposes the Bazel build system to AI agents, enabling them to build, query, test, and manage dependencies.
Bazel MCP Server
A local MCP server that exposes functionality of the Bazel build system to MCP-enabled AI agents.
This is helpful when MCP environments either don't have an existing command-line tool, or where the invoked shell has a misconfigured environment that prevents Bazel from being used.
Tools
The Bazel MCP Server provides the following tools:
- bazel_build_target: Build specified Bazel targets
- bazel_query_target: Query the dependency graph for targets matching a pattern
- bazel_test_target: Run tests for specified targets
- bazel_list_targets: List all available targets in the workspace (requires path parameter, use "//" for all targets)
- bazel_fetch_dependencies: Fetch external dependencies
- bazel_set_workspace_path: Change the Bazel workspace path at runtime
Each command (except bazel_set_workspace_path) supports an optional additionalArgs parameter that allows passing additional arguments to the underlying Bazel command. This is useful for specifying flags like --verbose_failures or --test_output=all.
Usage
Installation
Using with Cursor
Add the following to .cursor/mcp.json.
You don't need to provide the workspace path, as the LLM can use set_workspace_path to change the workspace path at runtime.
The bazel binary usually gets picked up automatically, but if you run into issues, you can provide the path to the bazel binary using the --bazel_path flag.
:warning: Note that this will not work when using Cursor with Remote SSH sessions, since it runs the MCP server locally.
{
"mcpServers": {
"bazel": {
"command": "npx",
"args": [
"-y",
"github:nacgarg/bazel-mcp-server",
// If you need to specify the bazel binary path
"--bazel_path",
"/absolute/path/to/your/bazel/binary",
// If you need to specify the workspace path
"--workspace_path",
"/absolute/path/to/your/bazel/workspace"
// See Configuration Table below for more options
]
}
}
}
Using with Claude Desktop
You can use the same configuration as above with Claude Desktop.
Launching standalone
# Run directly from GitHub (no installation needed)
npx -y github:nacgarg/bazel-mcp-server
# From source
git clone https://github.com/nacgarg/bazel-mcp-server.git
cd bazel-mcp-server
npm install
npm run build
dist/index.js
Configuration
This MCP server allows a couple different configuration methods. They will be used in the following order:
- Command line arguments
- Environment variables
- Configuration file
Configuration Table
| CLI Argument | Environment Variable | Configuration File Key | Description |
|---|---|---|---|
--bazel_path | MCP_BAZEL_PATH | bazel_path | The path to the Bazel binary to use. |
--workspace_path | MCP_WORKSPACE_PATH | workspace_path | The path to the Bazel workspace to use. |
--workspace_config | MCP_WORKSPACE_CONFIG | workspace_config | The configuration of the workspace to use. By default, this uses the .bazelrc file in the workspace root. |
--log_path | MCP_LOG_PATH | log_path | The path to write server logs to. |
Debugging
Set the DEBUG=true environment variable to enable verbose logging to the console.
Setting the log path is also helpful for debugging with clients that don't print logs to the console (looking at you, Cursor).
License
This project is licensed under the MIT License. See the LICENSE file for details.
Related Servers
UseGrant MCP Server
Interact with the UseGrant API for programmatic access control and permissions management.
React Native Debugger MCP
Connects to the React Native application debugger to retrieve console logs from Metro.
Markdown Sidecar MCP Server
An MCP server to access markdown documentation for locally installed NPM, Go, and PyPi packages.
APS AEC Data Model MCP (.NET)
A .NET MCP server for interacting with the Autodesk AEC Data Model API and Viewer.
MCP Gemini CLI
A command-line interface wrapper for the Google Gemini API, enabling interaction with Gemini's Search and Chat tools.
Image Generation
Generate images from text using the Stable Diffusion WebUI API (ForgeUI/AUTOMATIC-1111).
Structurize-MCP
Generates structured CSV files from natural language descriptions using Google Gemini AI.
MCP Software Engineer Server
An MCP server that enables an AI to function as a full-stack software engineer with complete development capabilities.
MCP-S Gateway
A secure, open-source OAuth gateway for MCP authentication.
MCP Demo Server
A reference implementation of a Model Context Protocol (MCP) server with example tools, prompts, and resources.