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Curistat

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Futures volatility intelligence MCP server for ES, NQ, and related products

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Futures volatility intelligence MCP server for ES, NQ, and related products

README

MCP Server Glama PyPI License: MIT

Futures-specific volatility intelligence for AI agents via the Model Context Protocol.

The first MCP server dedicated to futures volatility analytics. Provides forecasts, regime detection, rare signals, directional bias, and research tools for ES, NQ, and related products.

Quick Start

1. Install

pip install curistat-mcp

2. Get a Curistat API key

Sign up at curistat.com/developer and generate an API key.

3. Configure Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "curistat": {
      "command": "python",
      "args": ["-m", "curistat_mcp"],
      "env": {
        "CURISTAT_API_KEY": "cst_agent_your_key_here"
      }
    }
  }
}

Restart Claude Desktop. You can now ask Claude questions like:

  • "What's the volatility forecast for ES today?"
  • "Are there any rare signals firing for NQ?"
  • "Show me the economic calendar for next week"
  • "Find historical days similar to today for ES"

Available Tools

Core Intelligence

Tool Description
get_forecast_today Daily volatility forecast (1-10 rating) with expected move ranges
get_forecast_week 5-day forward volatility forecast
get_signals Scan all 24 rare volatility signals
get_direction Directional bias (17-component aggregate)
get_session_plan Full session planner with trade setups

Regime

Tool Description
get_regime CRC composite (0-100, 5 bands)
get_pulse Market conditions snapshot

Research

Tool Description
get_calendar Economic calendar with vol impact estimates
get_event_impact Historical vol analysis around specific events
get_similar_days Historical analog day lookup

Supported Products

ES, NQ, MES, MNQ, SPX, SPY, QQQ

Agent Framework Integration

CrewAI

from crewai import Agent
from crewai_tools import MCPTool

curistat_tools = MCPTool(
    server_command="python",
    server_args=["-m", "curistat_mcp"],
    server_env={"CURISTAT_API_KEY": "cst_agent_..."},
)

analyst = Agent(
    role="Futures Volatility Analyst",
    tools=[curistat_tools],
    goal="Analyze market conditions and provide trading intelligence",
)

LangChain

from langchain_mcp import MCPToolkit

toolkit = MCPToolkit(
    server_command="python",
    server_args=["-m", "curistat_mcp"],
    server_env={"CURISTAT_API_KEY": "cst_agent_..."},
)

tools = toolkit.get_tools()

Direct stdio (any MCP client)

CURISTAT_API_KEY=cst_agent_... python -m curistat_mcp

The server communicates via stdio using the MCP protocol.

Environment Variables

Variable Required Default Description
CURISTAT_API_KEY Yes -- Your Curistat Developer API key
CURISTAT_API_URL No https://api.curistat.com API base URL

Rate Limits

Rate limits are enforced by your API key tier, not by the MCP server. The server is a thin client that proxies requests to the Curistat API.

Tier Requests/min Requests/day
Free 10 100
Pro 60 5,000
Agent 120 50,000

License

MIT

from github.com/moxiespirit/curistat-mcp

Installing Curistat

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/moxiespirit/curistat-mcp

FAQ

Is Curistat MCP free?

Yes, Curistat MCP is free — one-click install via Unyly at no cost.

Does Curistat need an API key?

No, Curistat runs without API keys or environment variables.

Is Curistat hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Curistat in Claude Desktop, Claude Code or Cursor?

Open Curistat on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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