MCP server

Zensei Index

io.github.wegravel/zensei-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Today's Zensei Index: a 0-100 US market risk score, its ten indicators and the latest summary.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

12

Token cost

About 1,975 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http zensei-mcp https://www.zensei.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.zensei-mcp]
url = "https://www.zensei.com/mcp"

Gemini CLI

{"mcpServers":{"zensei-mcp":{"httpUrl":"https://www.zensei.com/mcp"}}}

Cursor

{"mcpServers":{"zensei-mcp":{"url":"https://www.zensei.com/mcp"}}}

VS Code

{"servers":{"zensei-mcp":{"type":"http","url":"https://www.zensei.com/mcp"}}}

Antigravity

agy mcp add zensei-mcp https://www.zensei.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"zensei-mcp","server_url":"https://www.zensei.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"zensei-mcp","server_url":"https://www.zensei.com/mcp"}

Tools

• zensei_index_about ~90 tokens
  What the Zensei Index is, how to read the score, how it is built, and what this server serves (free and Premium). Same wording as the website FAQ. Call it once before interpreting any score.
• zensei_index_history ~186 tokens
  Daily Zensei Index scores for the last `days` calendar days, with the regime of each day. Free access covers the last 31 days; Premium covers up to 3650 days. The Zensei Index is a RISK score from 0 to 100: LOWER IS HEALTHIER. 0-20 Supportive, 20-40 Vulnerable, 40-70 Stressed, 70-100 Restrictive. A
• zensei_index_indicators ~169 tokens
  The ten indicators behind today's Zensei Index, each with its current status, the layer it scores into, its weight in that layer, and the same explanation the website shows. Use it to explain why the index sits where it does. Indicator statuses run from healthiest to most stressed: Clear or Inactive
• zensei_index_summary ~171 tokens
  The latest written summary of the Zensei Index, with the score and regime it was written for. A summary is rewritten only when the indicators change. Check `stale` and `ageDays` before quoting it as today's view, and prefer zensei_index_today for the current number. The Zensei Index is a RISK score
• zensei_index_today ~162 tokens
  Today's Zensei Index for U.S. equities: the final score, its regime label, and the three layer scores (structural conditions, tactical filters, regime confirmations). The Zensei Index is a RISK score from 0 to 100: LOWER IS HEALTHIER. 0-20 Supportive, 20-40 Vulnerable, 40-70 Stressed, 70-100 Restric
• zensei_my_watchlist ~167 tokens
  The signed-in user's saved symbols on Zensei, with the sector each one is pinned to. Reads the "Favorites" list unless `list` names another. Needs a Zensei account; custom lists are a Premium feature. Pass each symbol to zensei_stock_detail or zensei_sector_detail for figures.
• zensei_search ~137 tokens
  Find sector ETFs and stocks tracked by Zensei by ticker or name. Returns each stock with the sector ETFs that hold it, largest weight first. Needs Zensei Premium.
• zensei_sector_detail ~221 tokens
  One sector ETF in depth: its quadrant, momentum and returns vs SPY, valuation, and its largest holdings (up to 25). For each holding: weight, quadrant against the sector ETF (not against SPY), momentum, 1-month change and the gap to the sector. The 11 broad S&P 500 sectors (XLK, XLF, XLV, XLE, XLI,
• zensei_sectors_scan ~189 tokens
  How each sector ETF performs against the S&P 500 (SPY), placed in four quadrants by its 3-month (X) and 1-month (Y) change vs SPY: Outperformers (ahead on both), Emerging (behind over 3 months, ahead over 1 month), Cooling (ahead over 3 months, behind over 1 month) and Underperformers (behind on bot
• zensei_stock_detail ~267 tokens
  How one stock performs against a sector ETF that holds it (its 'lens'): returns over 1w to 1y and the gap to the sector, relative-strength trend, valuation, next earnings date, and every tracked sector that holds it with its quadrant there. Without `sector`, the free tier uses a broad S&P 500 sector
• zensei_view_indicators ~76 tokens
  Used by the Zensei Index view to draw the ten indicator charts inside the view. Not for direct use: call zensei_index_indicators instead.
• zensei_view_sector ~140 tokens
  Used by the Zensei sector map view to open one sector's holdings inside the view. Not for direct use: call zensei_sector_detail instead.

Browse

• GitHub tools
• Calendars
• GitHub and code hosting
• Stocks and markets

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