riskstate-mcp

riskstate-mcp

Deterministic risk governance for crypto trading agents. 5-level policy engine with position sizing, leverage limits, and trade blocking. One tool: get_risk_policy. Supports BTC and ETH.

Category
Visit Server

README

RiskState MCP Server

MCP server for RiskState — deterministic risk governance API for autonomous crypto trading agents.

Your agent asks: "How much can I risk?" RiskState answers with: policy level, max position size, leverage limits, blocked actions.

riskstate-mcp MCP server

What it does

Wraps the RiskState /v1/risk-state API as an MCP tool. One tool: get_risk_policy.

Field Description
policy_level 5 levels: BLOCK_SURVIVAL, BLOCK_DEFENSIVE, CAUTIOUS, GREEN_SELECTIVE, GREEN_EXPANSION
max_size_pct Maximum position size as % of portfolio (0-100)
leverage_max Maximum allowed leverage multiplier
allowed_actions What the agent CAN do at this policy level
blocked_actions What the agent CANNOT do
confidence_score Signal agreement x data quality (0-1)

The API aggregates 9+ real-time data sources server-side. See API docs for details.

What this wrapper does (and doesn't)

This is a thin wrapper — it translates MCP tool calls into REST API requests to POST /v1/risk-state and returns the response. All computation (scoring, policy engine, data ingestion) happens server-side.

This wrapper adds:

  • MCP protocol compliance (stdio transport for Claude Desktop/Code)
  • Input validation via Zod schemas
  • Human-readable policy summary prepended to responses
  • Specific error messages (auth, rate limit, timeout) for agent recovery

This wrapper does NOT:

  • Cache responses (the API has 60s server-side cache)
  • Perform any scoring or computation locally
  • Guarantee response schema stability (follows API versioning)

Installation

npm install @riskstate/mcp-server

Configuration

Environment Variables

Variable Required Description
RISKSTATE_API_KEY Yes API key from riskstate.ai (free during beta)
RISKSTATE_API_URL No Custom API base URL (default: https://riskstate.netlify.app)

Claude Desktop

Add to ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "riskstate": {
      "command": "npx",
      "args": ["@riskstate/mcp-server"],
      "env": {
        "RISKSTATE_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

claude mcp add riskstate -- npx @riskstate/mcp-server

Set the API key in your environment:

export RISKSTATE_API_KEY=your-api-key

Usage

The server exposes one tool: get_risk_policy

Parameters

Parameter Type Required Description
asset "BTC" | "ETH" Yes Asset to analyze
wallet_address string No DeFi wallet for on-chain position data
protocol "spark" | "aave" No Lending protocol (default: spark)
include_details boolean No Include full breakdown (subscores, macro, risk flags)

Example Response

{
  "exposure_policy": {
    "policy_level": "CAUTIOUS",
    "max_size_pct": 35,
    "leverage_max": 1.5,
    "allowed_actions": ["DCA", "WAIT", "SPOT_LONG_CONFIRMED"],
    "blocked_actions": ["LEVERAGE_GT_2X", "NEW_POSITIONS_UNCONFIRMED"]
  },
  "classification": {
    "cycle_phase": "MID",
    "market_regime": "RANGE",
    "macro_regime": "NEUTRAL",
    "direction": "SIDEWAYS"
  },
  "auditability": {
    "composite_score": 52,
    "confidence_score": 0.72,
    "policy_hash": "a3f8c2...",
    "ttl_seconds": 60
  }
}

How Agents Should Use This

Call get_risk_policy before every trade:

  1. If policy_level starts with BLOCK → do not open new positions
  2. Use max_size_pct to cap position sizing
  3. Check blocked_actions before executing
  4. Re-query after ttl_seconds (60s cache)

Limitations

  • v1 scope: BTC and ETH only. More assets planned.
  • Protocols: Spark and Aave V3 only for DeFi position data.
  • Rate limit: 60 requests/minute per API key.
  • Latency: ~1-3s per request (9+ upstream data source aggregation).
  • Tested with: Claude Desktop, Claude Code. Should work with any MCP-compatible client.

Links

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured