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.
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Scout Monitoring MCP
ผู้สนับสนุนPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
ผู้สนับสนุนAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Azure DevOps MCP Server for Cursor
Integrate Azure DevOps with Cursor IDE. Provides over 60 tools using PAT authentication, no CLI needed.
Dify MCP Server
A TypeScript-based server that integrates the Dify AI application platform with the MCP Client.
LaTeX to MathML MCP Server
Converts LaTeX mathematical expressions to MathML format using MathJax-node.
Azure DevOps
Integrate with Azure DevOps services to manage work items, repositories, and pipelines.
Juniper Junos MCP Server
An MCP server for interacting with Juniper Junos network devices using LLMs.
MCP Reticle
Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing everything.
Voiceflow MCP Client
A Node.js client that integrates with remote MCP servers to provide tools for Voiceflow Agents.
Shrike Security
AI agent security scanner — protect LLM-powered apps from prompt injection, SQL injection, data exfiltration, and adversarial attacks via MCP.
ZenML
Interact with your MLOps and LLMOps pipelines through your ZenML MCP server
FeedOracle Macro Intelligence
Deterministic macro regime engine for AI trading agents — RISK_ON / NEUTRAL / RISK_OFF / STRESS with transparent scoring rules.