Boolsai Signals MCP Server

by boolsai Your server? Claim it

answering

Boolsai Signals is answering right now. Last checked 6 min ago. It exposes 12 tools. Last commit 19 May 2026.

Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.

Uptime history 47 days of history

47 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

193 ms

Response time

average over 24h

Stars

last commit 19 May 2026

Nothing serious here today

Today is the operative word: we check Boolsai Signals every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add signals --transport http https://signals.boolsai.ai/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "signals": {
      "url": "https://signals.boolsai.ai/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.signals]
url = "https://signals.boolsai.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "signals": {
      "url": "https://signals.boolsai.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "signals": {
      "url": "https://signals.boolsai.ai/mcp"
    }
  }
}

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

signal

signal_diff

Compare two signal patterns side-by-side. e.g. 'how does PRICING_TIERS_ADDED compare to VENDORS_DETECTED_CHANGED on the live dataset?' Returns α, %pos, sample size, worst/best trades for each, plus delta. Pure D1, fast.

signal_landscape

ONE-SHOT cross-signal sweep. Computes α-vs-SPY stats simultaneously across event_type, detector, diff_field, severity, AND co_occurrence dimensions — returns the full landscape in a single response. Use this FIRST when you want to see where signal lives without having to call find_signals N times. Stateless, pure D1, no rate-limit risk, ~1s response. Cached per arg set for sub-100ms repeated queries.

domain

domain_timeline

Week-by-week wayback diff timeline for one domain. Returns every detected stack change (additions / removals) with week date. Use this to see when a vendor was added/removed historically, e.g. 'when did adobe.com add Segment?'

event

event_dossier

Deep dive on a single event: full diff (added/removed values), surrounding price action (-3D to +14D), predicted vs actual α, links to wayback comparison. Use this to investigate a specific event flagged by find_signals or recent_events.

farm

farm_domain

Bulk-farm a domain's historical wayback snapshots into our index. Use this when you need backtest history on a domain we haven't already farmed (i.e. wayback_backtest / domain_timeline return no data for it). Hits CDX → samples weekly → parallel-scans up to 50 snapshots via intel.boolsai.ai → inserts into wayback_intel_profiles. After farming completes you can call wayback_backtest or domain_timeline on the domain immediately. Cost: ~30-60s wall time, ~50 intel scans.

recent

recent_events

Live signal feed: events fired in the last N days (default 7). Returns each event with the predicted α range based on its event type's historical performance. Use this to surface 'what should I be looking at right now?'

scan

scan_at_date

Scan a URL as it appeared on a historical date via the Wayback Machine. Uses intel.boolsai.ai against the wayback-wrapped URL. Returns the same JSON shape as Boolsai Scan but for a historical snapshot. Use when investigating WHEN a vendor was added/removed.

signals

find_signals

Automated pattern discovery — scans event_type × detector × diff_field × severity combinations and returns those with the strongest forward-return characteristics (α vs SPY, % positive, n). Use this when you don't have a specific hypothesis yet. Returns sorted by α at +7D descending. Filter by min_n to set a sample-size floor.

test

test_filter

Compute α stats for an arbitrary filter expression. Use this to test a specific hypothesis (e.g. 'tier_count_changed on enterprise-SaaS tickers' or 'severity 5 events that happened on Mondays'). Returns n, mean/median raw and α returns at +1/+3/+7d, % positive, and the worst-loss trade.

ticker

ticker_history

All events fired on a single ticker, plus price action timeline. Use this to investigate one company's pattern (e.g. 'show me everything we caught on NFLX').

universe

universe_summary

Orient the agent: total events, tickers, date range, top event types, top detectors, price coverage, SPY benchmark status. Call this FIRST when starting research. Returns counts that let the agent reason about sample sizes before drilling in.

wayback

wayback_backtest

Run an SPY-benchmarked backtest on the WAYBACK historical event dataset (2+ years, 13K events) instead of the recent live event dataset (2 months, 1.7K events). Much bigger samples for statistical confidence. Group by change_type / key_path / domain.

Endpoints

URL	Transport	State	Latency	Checked
https://signals.boolsai.ai/mcp	streamable-http	answering	303 ms	6 min ago

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Boolsai Signals — questions

Answers built from our own checks of this server.

What can Boolsai Signals do?

It exposes 12 tools, read directly from the server on our last check. Among them: domain_timeline, event_dossier, farm_domain, find_signals, recent_events, scan_at_date and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Boolsai Signals working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 193 ms. The bar chart above shows every period we have measured.

How do I connect Boolsai Signals?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Boolsai Signals need an API key?

No. Boolsai Signals completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Boolsai Signals?

It answers our handshake in 193 ms on average, which is faster than 68% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Boolsai Signals open source?

Yes — it is published under the MIT licence and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.