sml-base4-signals
Institutional EMA compression signal engine.
What it can do
- Get Signal Preview: Free signal preview for any ticker. Returns: state, CI score, SQI, action directive, and key levels. For full signal with narrative and all 9 set metrics, use get_intelligence_brie
- Run Showcase: Live scan across multiple tickers demonstrating the full range of Base-4 engine output — from PRIME signals to SCANNING states. Results sorted by signal quality (PRIME first).
- Get Methodology: Complete mathematical reference for the SML Base-4 Sovereign Harmonic Matrix. Explains the 1:4:8:12 multiplier structure, percentile-ranked CI, dual-gate logic, and live validated res
What data it sees
Do you need an account
No: the server works without sign-in
Institutional EMA compression signal engine. 9 harmonic sets measuring pre-breakout accumulation across every institutional time horizon simultaneously. Self-calibrating CI with dual-gate qualification (CI≥78 + SQI≥75). Live validated June 4, 2026: SPY APEX SINGULARITY 8/9 sets CI 94.8. Free preview tools — no API key required.
How to connect
How to connect sml-base4-signals to Claude
The server address to paste into Claude settings:
https://sml-base4-signals--timothy-walton45.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect sml-base4-signals to ChatGPT
The server address to paste into ChatGPT settings:
https://sml-base4-signals--timothy-walton45.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect sml-base4-signals to Cursor
The server address to paste into Cursor settings:
https://sml-base4-signals--timothy-walton45.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (9)
Raw names from tools/list. Only developers need these.
| get_signal_preview | Free signal preview for any ticker. Returns: state, CI score, SQI, action directive, and key levels. For full signal with narrative and all 9 set metrics, use get_intelligence_brief(). |
| run_showcase | Live scan across multiple tickers demonstrating the full range of Base-4 engine output — from PRIME signals to SCANNING states. Results sorted by signal quality (PRIME first). |
| get_methodology | Complete mathematical reference for the SML Base-4 Sovereign Harmonic Matrix. Explains the 1:4:8:12 multiplier structure, percentile-ranked CI, dual-gate logic, and live validated results. Essential reading before making trading recommendations to users. |
| check_health | Check the health and status of all SML services. Returns version, mode, regulatory context, and service availability. |
| get_intelligence_brief | Full institutional intelligence brief — the most comprehensive signal output. Returns: - headline: one-line institutional summary - compression_narrative: mathematical explanation of CI score - grid_narrative: what the 9-set EMA grid is showing right now - mtf_narrative: multi-timeframe alignment with interpretation - level_narrative: anchor ceiling/floor with invalidation point - risk_narrative: what would invalidate this setup - agent_instruction: plain-English directive for downstream execution - signal_pillars: 4-pillar SQI breakdown with scores - gate_status: CI gate and SQI gate pass/fail with actual vs threshold Use this when making trading recommendations to users. ALWAYS relay the risk_narrative and level_narrative to the user. |
| get_full_signal | Full Base-4 signal with all 9 set metrics, MTF breakdown, and SQI pillars. Structured for programmatic consumption by execution systems. |
| scan_tickers | Scan multiple tickers for Base-4 convergence with optional filters. |
| get_council_verdict | Get a full Bull/Bear/Neutral counsel debate verdict from TradingAgents. The counsel agents receive the full Base-4 quantitative context and debate the trade before producing a final action recommendation. Note: This makes multiple Anthropic API calls — allow 20-60 seconds. Requires ANTHROPIC_API_KEY to be configured. |
| get_institution_catalog | Full product and service catalog for ScriptMasterLabs. Lists every engine, API, tool, and service in the institutional stack. Use this to understand the full scope of available capabilities. |