Multi-agent data engineering framework — MCP-native
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# ⚒️ mcp-dataforge **Multi-agent data engineering framework — MCP-native.** Turn natural language into data pipeline actions. Six specialist agents collaborate through the Model Context Protocol (MCP) to build, validate, and monitor your data infrastructure. [](#) [](#) [](#) --- ## Quick Start ```bash # Install pip install mcp-dataforge # Initialize a project dataforge init # Run a task dataforge run "profile the customers table and check for nulls" # Start the web dashboard dataforge web # → http://localhost:8080 ``` --- ## Architecture ``` MCP Client (Claude Code, Cursor, etc.) │ │ MCP Protocol (stdio) ▼ ┌─────────────────────────────────────┐ │ Orchestrator MCP Server │ │ route_task · execute_task │ │ execute_parallel · execute_mixed │ │ list_agents · get_pipeline_status │ ├─────────────────────────────────────┤ │ │ │ ┌──────┐ ┌──────┐ ┌──────┐ │ │ │Pipeline│ │ DQ │ │Schema│ │ │ └──────┘ └──────┘ └──────┘ │ │ ┌──────┐ ┌──────┐ ┌──────┐ │ │ │Catalog│ │Observ│ │Orch │ │ │ └──────┘ └──────┘ └──────┘ │ │ │ │ Sequential · Parallel · Mixed │ └─────────────────────────────────────┘ ``` ### Execution Modes | Mode | Description | Example | |------|-------------|---------| | **Sequential** | Agents run one after another, context passes between them | Profile → Detect drift → Generate migration | | **Parallel** | Multiple agents run concurrently, results merged | Scan schema + check health + search catalog | | **Mixed** | Multi-stage: parallel groups followed by sequential steps | [DQ + Schema] in parallel → Catalog | --- ## Built-in Agents | Agent | Tools | Description | |-------|--…
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