AlphaLabs Intelligence MCP MCP server

AlphaLabs Intelligence provides derived market analytics for AI agents, including signal scoring, regime analysis, and calibration telemetry from a live paper-trading pipeline. It offers tools for evaluating trade ideas, explaining decisions, and accessing recorded outcomes to support informed trading strategies.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Pak Labs

MCP endpoint (Streamable HTTP)

https://api.pak-labs.com/mcp

Vendor documentation

What you can do with it

Score and classify market catalyst events with direction and provenance
Evaluate trade ideas using a live engine for composite scores and tiers
Access live pipeline calibration telemetry and feature attribution
Generate AI market briefs with tone, themes, and macro risks

Tools advertised by the last live check:

alphalabs_get_catalog
alphalabs_calibration_report
alphalabs_evaluate_signal
alphalabs_outcome_report
alphalabs_feature_attribution
alphalabs_explain_decision

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http alphalabs-intelligence-mcp https://api.pak-labs.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add alphalabs-intelligence-mcp --url https://api.pak-labs.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable alphalabs-intelligence-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "alphalabs-intelligence-mcp": {
      "url": "https://api.pak-labs.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "alphalabs-intelligence-mcp": {
      "type": "streamableHttp",
      "url": "https://api.pak-labs.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start alphalabs-intelligence-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "alphalabs-intelligence-mcp": {
      "type": "http",
      "url": "https://api.pak-labs.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http alphalabs-intelligence-mcp https://api.pak-labs.com/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "alphalabs-intelligence-mcp": {
      "url": "https://api.pak-labs.com/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "alphalabs-intelligence-mcp": {
      "serverUrl": "https://api.pak-labs.com/mcp"
    }
  }
}

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