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# tambora-mcp MCP server that exposes [Tambora](https://tambora.io) test case management operations as native tools for Claude. Allows Claude to create test cases, manage test runs, and list existing tests without generating and executing scripts manually. ## Requirements - Python 3.10+ - A running Tambora instance with API access - Claude Code (claude.ai/code) or any MCP-compatible client --- ## Installation ### Option A — No install, via `uvx` (recommended) If you have [uv](https://docs.astral.sh/uv/) installed, you don't need to install anything up front — point your MCP client at `uvx tambora-mcp@latest` (see [MCP Setup](#mcp-setup-in-claude-code) below). The `@latest` suffix matters: without it, `uvx` resolves the version once and reuses that cached environment on later runs instead of re-checking PyPI. ### Option B — Persistent install from PyPI ```bash pip install tambora-mcp ``` To install a specific version: ```bash pip install tambora-mcp==0.6.0 ``` ### Option C — Local development (contributors/maintainers) ```bash git clone https://github.com/koombea/tambora-mcp.git cd tambora-mcp pip install -e . ``` ### Verify installation ```bash tambora-mcp --help ``` --- ## MCP Setup in Claude Code ### 1. Locate or create your `.mcp.json` The `.mcp.json` file lives at the root of your project (project-level) or at `~/.claude/mcp.json` (global). ### 2. Add the tambora server Recommended — no install step, via `uvx`: ```json { "mcpServers": { "tambora": { "command": "uvx", "args": ["tambora-mcp@latest"], "env": { "TAMBORA_API_KEY": "your-api-key" } } } } ``` Alternative — if you already did a persistent `pip install tambora-mcp`: ```json { "mcpServers": { "tambora": { "command": "tambora-mcp", "env": { "TAMBORA_API_KEY": "your-api-key" } } } } ``` | Variable | Description | |---|---| | `TAMBORA_API_KEY` | API key for authentication. A single key can access multi…
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