MCP server for RiskState — pre-trade risk permissions for BTC/USD and ETH/USD. Spot, perpetual futures (perps), and DeFi borrowing aware.
Your system asks: "How much can I risk right now?" RiskState answers with: policy level, max exposure, leverage limits, blocked actions — computed from 30+ real-time signals.
1. Remote connector — no install, no API key. RiskState runs a hosted MCP server (Streamable HTTP) with a free public tier:
https://api.riskstate.ai/mcp
Add it as a custom connector in Claude or
ChatGPT, then just ask what the risk
state of BTC is. It exposes three read-only tools — get_risk_state,
get_market_structure, get_playbook_status — covering all three engines, and
is listed on the official MCP registry as ai.riskstate/mcp.
Responses are the free public summary: the same altitude as the public
visualizer. policy_hash, composite subscores, positioning and macro detail
need a key.
2. This package — stdio, keyed, full response. Use it when you want the
complete audited payload in a local agent, or to pin a version in your own
toolchain. It needs a RISKSTATE_API_KEY and returns everything your key is
entitled to. That is what the rest of this README covers.
Four read-only tools, one per question you might ask before a trade:
| Tool | Answers | Endpoint | Key |
|---|---|---|---|
get_risk_policy |
How much exposure is allowed? | POST /v1/risk-state |
yes |
get_market_structure |
Are we near a structural inflection? | POST /v1/market-structure |
yes |
get_playbook_status |
Is a setup actionable right now? | GET /api/playbook-data |
no |
check_trade |
Would THIS position be allowed? | POST /v2/portfolio-risk-state |
yes |
get_risk_policy returns:
| 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) |
check_trade evaluates a hypothetical book — send the position you are
considering plus anything you already hold, since the caps are
portfolio-aware. It returns per position whether it is allowed, the size cap in
percent and dollars, and reason_codes when it is not. Those are blocking;
advisories are informational and do not affect allowed. It places no orders.
get_playbook_status reports a setup as actionable only when its conditions
match, no engine vetoed it, and it is not in alert cooldown. Setups that
match but already alerted are counted separately, so an agent polling this tool
does not act on the same signal twice.
There is no update_policy, no set_limit, no exception management — and there
will not be. The premise of RiskState is that the system being governed cannot
move its own limits. Every decision is hashed (policy_hash) so it can be
audited afterwards against the inputs that produced it; a tool that let the
caller rewrite the policy would make that hash meaningless and the audit trail
decorative.
So the lifecycle here deliberately lives on one side: the engine computes, the
agent reads and complies. check_trade is the closest thing to a dynamic
per-trade operation, and it is still read-only — it answers "would this be
allowed", never "allow this".
The API aggregates 9+ real-time data sources server-side. See API docs for details.
This is a thin wrapper — it translates MCP tool calls into REST API requests 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)
npm install @riskstate/mcp-server| 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://api.riskstate.ai) |
Add to ~/.config/Claude/claude_desktop_config.json:
{
"mcpServers": {
"riskstate": {
"command": "npx",
"args": ["-p", "@riskstate/mcp-server", "riskstate-mcp"],
"env": {
"RISKSTATE_API_KEY": "your-api-key"
}
}
}
}claude mcp add riskstate -- npx -p @riskstate/mcp-server riskstate-mcpSet the API key in your environment:
export RISKSTATE_API_KEY=your-api-keynpm install -g @riskstate/mcp-server
riskstate-mcp # starts MCP server on stdioThe four tools are listed above. get_risk_policy takes:
| 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) |
{
"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
}
}Call get_risk_policy before every trade:
- If
policy_levelstarts withBLOCK→ do not open new positions - Use
max_size_pctto cap position sizing - Check
blocked_actionsbefore executing - Re-query after
ttl_seconds(60s cache)
For a sized position, check_trade collapses steps 2-3 into one call: send the
position you intend to open along with what you already hold, and read allowed
plus reason_codes. Prefer it over re-deriving the cap yourself, since the caps
are portfolio-aware and a position that passes in isolation can still breach
concentration once aggregated.
get_market_structure and get_playbook_status are context, not permission.
Neither one authorises a trade — only the risk policy does. Use them to decide
whether a trade is worth proposing, then get_risk_policy / check_trade to
learn how much of it you are allowed.
- v1 scope: BTC/USD and ETH/USD only (USD-denominated assessment). More assets planned.
- Markets: Spot, perpetual futures, and DeFi borrowing. Same response — interpretation differs by market (see API docs).
- 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.
- Landing page: riskstate.ai
- API docs: riskstate.ai/docs/api
- SKILL.md: agentskills.io
MIT