# bazel-mcp

> Use this tool when you need to integrate AI assistants with the Bazel build system, enabling automated building, testing, and querying of targets. It solves problems of manual build management and facilitates AI-driven development workflows via the Model Context Protocol. The tool accepts Bazel targets and AI queries as inputs, producing built artifacts, test results, and query responses as outputs.

Canonical page: https://skillsregistry.net/skills/sandeepnmenon-py-bazel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandeepnmenon-py-bazel-mcp

## Description

Integrates Bazel build system with AI assistants via the Model Context Protocol, allowing AI to build, test, run, and query Bazel targets.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f22uhvj6p5)
- **Repository:** <https://github.com/sandeepnmenon/py_bazel_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sandeepnmenon-py-bazel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeepnmenon-py-bazel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeepnmenon-py-bazel-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt