INDIVIDUAL MCP TOOL
alphalabs_evaluate_signal
Score YOUR trade idea through the live AlphaLabs deterministic engine: composite score, tier, per-component sub-signals, floors.
LIVE ENDPOINT
https://api.pak-labs.com/mcp
Connect to this endpoint to inspect the live schema for alphalabs_evaluate_signal and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description suggests a financial action.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.alphalabs-intel]
url = "https://api.pak-labs.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"alphalabs-intel": {
"type": "http",
"url": "https://api.pak-labs.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: alphalabs-intel
Remote MCP URL: https://api.pak-labs.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"alphalabs-intel": {
"url": "https://api.pak-labs.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"alphalabs-intel": {
"type": "http",
"url": "https://api.pak-labs.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "alphalabs-intel",
"transport": "streamable-http",
"url": "https://api.pak-labs.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
alphalabs_get_catalog— Free: list AlphaLabs Intelligence products, prices, and auth model.alphalabs_calibration_report— Live paper-trading pipeline calibration telemetry: stage funnel, gate failures, near-misses.alphalabs_outcome_report— Recorded outcomes of the live pipeline's own decisions: hit rates, score-band tables, accepted-vs-rejected edge, gate near-miss regret.alphalabs_feature_attribution— Which engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs.alphalabs_explain_decision— Glass-box breakdown of a prior evaluation by evaluation_id: every sub-signal, weight, floor, and the composite reasoning.