Curistat MCP Server

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

Regime

Research

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

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.

License

MIT