MCP server (stdio) exposing the AlphaForge `forge` CLI to Claude Code / Cursor / Codex
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# alpha-forge-mcp [](https://pypi.org/project/alpha-forge-mcp/) [](https://pypi.org/project/alpha-forge-mcp/) [](LICENSE) [](https://x.com/Alforge_bot) > **The MCP server for [AlphaForge](https://alforgelabs.com)** — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP. → **[Try AlphaForge free](https://alforgelabs.com)** --- A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server that exposes the **AlphaForge `alpha-forge` CLI** to AI coding agents — Claude Code, Cursor, Codex, and any MCP-capable client — over **stdio**. It is a thin **open-source wrapper**: it shells out to the (commercial, closed-source) `alpha-forge` binary with `--json` and returns the parsed result. The MCP server itself contains no core logic — `alpha-forge` plus a valid license are required for anything to actually run. ## Tools | Tool | What it does | Underlying command | |------|--------------|--------------------| | `list_strategies` | List registered strategies | `alpha-forge strategy list --json` | | `get_strategy` | Full JSON of one strategy | `alpha-forge strategy show <id> --json` | | `list_results` | List saved backtest results | `alpha-forge backtest list [--strategy <id>] --json` | | `get_result` | Metrics of one result (heavy arrays folded into counts by default; `summary=false` for full) | `alpha-forge backtest report <result_id> --json` | | `run_backtest` | Run a backtest (`summary=true` by default omits heavy arrays) | `alpha-forge backtest run <symbol> --strategy <id> [--start] [--end] [--summary] --json` |…
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