High-level orchestration MCP server for Power BI and Microsoft Fabric
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# powerbi-orchestrator-mcp > **Un servidor MCP orquestrador** que unifica modelado semántico, autoría > de reportes, nube Fabric, validación y visualización/UX para Power BI / > Fabric en **31 herramientas de alto nivel** (no 500 primitivas). > > El orquestrador **delega** a motores especializados (subprocess) y > presenta al LLM una superficie coherente y de alto nivel. [](./tests/) [](./tests/) [](./pyproject.toml) [](./LICENSE) [](https://modelcontextprotocol.io) **Status:** v1.23.0 — Beta. 31 tools, 89% cobertura, enterprise hardening (per-tool scopes, read- and write-path containment, plan ownership, full audit trail). Every state-changing tool is safe by default: `dry_run=True` on `deploy_to_workspace` and `run_refresh`, per-step confirmation on `apply_plan`, and `Tools.Write` required for mutating tools over HTTP. Every tool also **reports what it actually did**: a check that could not run says so instead of returning a green result, a rollback that only partly succeeded is reported as partial, and a step says which engine served it. See [release notes](./RELEASE-NOTES-v1.23.0.md) · [changelog](./CHANGELOG.md). --- ## Quickstart (60 segundos) ```bash # 1. Install from PyPI. pip install powerbi-orchestrator-mcp # 2. Configure your MCP client (Claude Desktop shown). # Edit claude_desktop_config.json: { "mcpServers": { "powerbi-orchestrator-mcp": { "command": "powerbi-orchestrator-mcp", "args": ["--start"], "env": {"PBI_AUTH_MODE": "interactive"} } } ``` ```bash # 3. Verify the orchestrator itself works. powerbi-orchestrator-mcp --start # runs over stdio # Or in another terminal, run the smoke test: python scripts/verif…
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