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Vibe-Trading MCP Server: AI Trading Agent with 36 Tools

August 19, 2026
2 min read

Vibe-Trading: Your Personal AI Trading Agent via MCP

Vibe-Trading offers a personal trading agent powered by AI, designed to integrate directly into your existing MCP-compatible clients. It provides a suite of 36 MCP tools, enabling natural-language market research, strategy drafting, and the orchestration of multi-agent trading teams directly from your preferred environment.

Connecting Vibe-Trading to Your MCP Client

The primary integration path for Vibe-Trading is as an MCP plugin, running as a standard I/O subprocess. This means no complex server setup is required to get started. Core research tools operate without needing API keys for HK/US/crypto markets, making initial exploration straightforward. Trading connector tools, however, utilize a selected connector profile, and run_swarm requires an LLM key.

For clients like Claude Desktop, integrate Vibe-Trading by adding a simple configuration entry:

{
  "mcpServers": {
    "vibe-trading": {
      "command": "vibe-trading-mcp"
    }
  }
}

OpenClaw users can add Vibe-Trading as a skill in their config.yaml:

skills:
  - name: vibe-trading
    command: vibe-trading-mcp

Before engaging trading_* tools, OpenClaw users should perform a research-only smoke test to confirm tool discovery and run a market data or backtest request. This ensures the setup is correct before selecting and checking a trading connector profile.

For other MCP clients like Cursor or Windsurf, Vibe-Trading can be invoked via the command line, defaulting to stdio transport:

vibe-trading-mcp

For web clients requiring SSE, specify the transport:

vibe-trading-mcp --transport sse

Capabilities Exposed Through MCP

Once connected, Vibe-Trading extends your MCP client with capabilities across several key areas:

  • Self-Improving Trading Agent: Leverage natural-language market research, draft strategies, and analyze files or web content. Memory-backed workflows support iterative refinement.
  • Multi-Agent Trading Teams: Deploy specialized teams for investment, quant, crypto, and risk analysis. These teams provide streaming progress updates and persisted reports, with workers grounded by fetched market data. The run_swarm tool, in particular, orchestrates these teams and requires an LLM key.
  • Cross-Market Data & Backtesting: Access data for A/HK/US equities, crypto, futures, and forex. Conduct data fallback and composite backtests, utilizing point-in-time (PIT) data, validation, and run cards.

These features are exposed as 36 distinct MCP tools, allowing fine-grained control and integration into your automated workflows or interactive AI assistant sessions.

References

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