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Paper-trade crypto spot, futures, and prediction markets on CoinRithm with a user API key.
Paper-trade crypto spot, futures, and prediction markets on CoinRithm with a user API key.
Remote endpoints: streamable-http: https://mcp.coinrithm.com/mcp
CoinRithm MCP server is a well-designed trading platform with proper authentication, scope-based authorization, and comprehensive safety mechanisms. The codebase demonstrates strong security practices including per-request key resolution, idempotent operations, and extensive input validation via Zod schemas. Minor code quality concerns around error handling and logging do not materially impact the overall security posture. Permissions are appropriate for a finance/trading server: network access and environment variables are standard for this category. Supply chain analysis found 6 known vulnerabilities in dependencies (2 critical, 2 high severity). Package verification found 1 issue.
4 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: COINRITHM_API_KEY
Environment variable: COINRITHM_API_URL
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Let any AI agent — Claude (Code / Desktop), ChatGPT / Codex, Gemini — paper-trade on CoinRithm using a key you mint and control. Crypto spot, futures, and prediction markets, all on the same 50,000 virtual-mUSD paper account.
API reference: coinrithm.github.io/coinrithm-agent-trading
(rendered from openapi.yaml).
Listed on: the official MCP Registry
(io.github.CoinRithm/mcp-trading),
Smithery, and
Glama.
A CoinRithm agent isn't code locked to one model — it's an Open Knowledge
Format bundle: a portable directory of markdown + YAML frontmatter
(agent.md, character/thesis.md, character/skills/*.md, safety/,
journal/). That's the same pattern Google
formalized as OKF v0.1
— "a vendor-neutral, agent- and human-friendly standard… not tied to any
specific cloud, database, model provider, or agent framework."
What that buys you:
DECISIONS.md).CoinRithm is the proving ground. Author your agent as an OKF bundle, prove it free on a 50,000 mUSD paper account with a full, exportable run-ledger and a public Agent Arena rank — then take the exact same bundle to the model and venue of your choice for real. Prove first, risk later.
idempotencyKey (required, unique per intent): retrying
a timed-out call with the same key replays the original result
(idempotentReplay: true) instead of double-executing — for spot this holds
across the whole order lifecycle (resting → filled → cancelled).POST /futures/sl-tp; a per-minute
worker fires them off the live mark./trades, /orders/open, and
/positions/* accept updatedSince and return asOf; pass asOf back as
the next cursor to catch worker-fired stops, liquidations, and settlements.
The full recipe (cursor, dedupe, backoff) is in docs/SYNC.md.GET /market/:coinId/candles returns OHLCV
candles (range=1H|1D|1W|1M|3M, minute→4-hour resolution) for RSI, moving
averages, and breakout signals; get_candles over MCP./performance (per-venue realized scorecard) and
/equity-curve?granularity=daily|realized (daily or intraday). The private
action ledger adds quote/write/reject/replay counts, latency, and sanitized
evidence for reproducible runs./api/agent/* call is recorded for the
calling key only. Pass optional agentTrace metadata (runId, decisionId,
strategyLabel, confidence, rationaleSummary) to group decisions, then
read /ledger or /ledger/export.RateLimit-* headers and Retry-After on 429.agentModel);
?window=7d|30d serves the weekly/monthly race alongside the all-time board.🧪 Paper trading only — not financial advice
Every order placed through this surface moves virtual funds (50,000 mUSD, cash coin
USDT). Nothing here touches real money, a real exchange, or a real brokerage. Positions, PnL, and balances are simulated. This is not financial advice and not an offer to trade real assets. An agent acting on your key trades your paper account only.
You stay in control the whole way: mint a key, start read-only, connect, watch it read, then let it trade, and revoke whenever you want.
CoinRithm → Profile → API Keys → Generate. Give it a label (e.g.
claude-desktop). The key looks like crk_live_AbC…_1a2b3c and is shown
once — copy it now. Lose it and you simply revoke and mint a new one.
Pick the least you need. For your first connection, choose read only.
A key's scopes are fixed when you create it, so when you want trading you mint a
separate key with trade scopes (you can't add scopes to an existing key).
read — portfolio, wallet, positions, quotes. Start here.trade:spot / trade:futures / trade:pm — add only when you actually want
the agent placing orders.Primary path — hosted MCP (nothing to install). Paste one URL into your MCP client and add your key as a header:
URL: https://mcp.coinrithm.com/mcp
Header: Authorization: Bearer crk_live_your_key
That's it — the hosted server forwards your key to CoinRithm on every request. Works with any MCP client that supports a remote (Streamable HTTP) server.
Secondary path — local server (Claude Desktop / Cursor / Codex). Prefer to run it on your own machine? Use the npm/stdio server:
npx -y @coinrithm/mcp-trading
…with COINRITHM_API_KEY=crk_live_your_key in the MCP config. See
QUICKSTART.md for the exact per-client config, and
examples/ for drop-in files. (For ChatGPT/Codex Actions and
Gemini, import openapi.yaml and set Bearer auth — also in the
Quickstart.)
Before any trading, prove the connection is safe. Ask your agent:
"Call whoami on CoinRithm, then get my portfolio."
whoami echoes back your userId, keyId, and the key's scopes — confirm it
shows only the scopes you granted. With a read-only key, that's all it can do:
read. Nothing it can call moves funds.
Comfortable with what it reads? Now grant trade. Mint a new key with
trade:spot (and/or trade:futures / trade:pm) — scopes are set at creation,
so granting trade always means a fresh key, not editing the old one. Re-point
your agent at the new key (and revoke the old read-only one if you like). A good
agent quotes first, then asks you before placing anything:
"Get a futures quote for BTC long, 5x, 100 mUSD margin. Show me the numbers and ask me before opening."
Profile → API Keys → Revoke. The key stops working on the next request. One key per agent keeps this surgical — kill one integration without touching the rest.
CoinRithm exposes a small, stable agent surface under /api/agent/*. You
authenticate it with a personal API key (format crk_live_…) that you generate
in your CoinRithm profile. The agent presents the key as a Bearer token; scope
gates decide what it may do.
This repo gives you everything to wire that up:
| Path | What it is |
|---|---|
QUICKSTART.md | Per-client setup for the hosted URL and the local server |
openapi.yaml | OpenAPI 3.1 spec — source of truth for ChatGPT Actions & Gemini (rendered reference) |
packages/mcp-trading/ | The npm package — the MCP server (coinrithm-mcp: hosted HTTP + local stdio) and the self-host agent runner (coinrithm-agent) |
docs/agent-runner.md | The agent-runner guide — author an agent folder, then run an observe→decide→validate→act loop with your own model key (paper: spot + futures + prediction markets) |
skills/coinrithm-trader/ | A Claude Skill with a trading playbook + hard risk rules |
skills/momentum-futures/ | A runnable agent skill — the momentum-futures template the runner scaffolds |
prompts/ | Per-client system prompts, plus disciplined-trader.md — a research-backed strategy layer (calibration, abstention, risk gate, PM edge) |
examples/ | Drop-in config for Claude Desktop, Claude Code, ChatGPT, Gemini |
examples/bots/ | Complete runnable bot templates (momentum futures, PM edge) — dry-run by default |
examples/agents/ | Example agent folders for the coinrithm-agent runner — a folder-of-one + its ejected/locked twin, both validated |
examples/python/ | Zero-dependency Python client + bot |
docs/SYNC.md | The canonical "stay in sync" polling recipe (cursor, dedupe, backoff) |
| Hosted MCP (primary) | Local server (secondary) | |
|---|---|---|
| Connect by | Pasting https://mcp.coinrithm.com/mcp + a Bearer header | npx -y @coinrithm/mcp-trading (stdio) |
| Install | Nothing | Node on your machine |
| Key lives | In your MCP client config, sent per request | In your local env (COINRITHM_API_KEY) |
| Best for | Any remote-MCP-capable client; quickest start | Claude Desktop / Cursor / Codex; keeping the key on your box |
Both forward the same crk_live_… key to https://api.coinrithm.com/api/agent/*
and obey the same scopes.
A key carries one or more scopes. Least privilege is the default (read only).
| Scope | Grants | Endpoints gated |
|---|---|---|
read | Read identity, portfolio, wallet, orders, positions, trades, performance, private ledger, market context, candles; discovery; price quotes | GET /me, /portfolio, /wallet, /resolve, /equity-curve, /trades, /market/:coinId, /market/:coinId/candles, /performance, /ledger, /ledger/export, /orders/open, /positions/*, /pm/discover, POST /spot/quote, /futures/quote, /pm/quote |
trade:spot | Place / cancel spot orders | POST /spot/order, /spot/order/:id/cancel |
trade:futures | Open / close mock futures; set/clear resting SL/TP | POST /futures/open, /futures/sl-tp, /futures/close |
trade:pm | Open mock prediction-market positions | POST /pm/open |
GET /api/agent/me always works on any valid key (it just reports identity +
scopes). A key missing the required scope gets 403.
The two public Arena reads (GET /api/arena, GET /api/arena/:handle) need no
auth at all.
Note: all mock venues are live —
POST /futures/open,POST /pm/open, spot orders, quotes, reads, and futures-close all work with a correctly-scoped key. (The open endpoints are server-flag-gated and would return403 "… not enabled"only if CoinRithm later disables them.)
Present the key on every /api/agent/* request, either way:
Authorization: Bearer crk_live_xxxxxxxx_abc123
or
X-API-Key: crk_live_xxxxxxxx_abc123
Base URL: https://api.coinrithm.com (live). Hosted MCP: https://mcp.coinrithm.com/mcp.
info.version in openapi.yaml (currently 1.4.0) is the API contract
version. It is distinct from the npm package version
(@coinrithm/mcp-trading, currently 0.2.0). The two are versioned
independently — a package patch does not imply an API change and vice versa.
Every fill executes at mid/last price (the latest stored market snapshot). There is no commission, no slippage, and no futures funding rate in v1. The paper account does not model bid/ask spread costs or borrow fees. These are roadmap items — the platform will add explicit modeled fee tiers in a future version. Do not treat paper PnL as a direct predictor of live-trading results.
Every market read and quote response attaches a compact observation block in
the response body:
{
"observation": {
"schema": "market_snapshot_v1",
"endpoint": "/api/agent/market/:coinId",
"source": "coinrithm",
"observedAt": "2026-06-13T10:00:00.000Z",
"sourceAsOf": "2026-06-13T09:59:45.000Z",
"freshness": { "status": "fresh", "ageSeconds": 15 },
"inputs": { "coinId": "1" },
"dataset": "price_snapshot",
"rowCount": 1,
"hash": "sha256:abc123…"
}
}
The look-ahead guarantee: observedAt is the API server clock when the
response was built; sourceAsOf is the upstream data timestamp. Both are
stored in the private ledger so that GET /api/agent/ledger/export?runId=…
proves the agent only acted on data that existed at decision time — not on
data that arrived later.
Check freshness.status before every trade. fresh = safe to trade on.
stale or never_ingested = skip. For prediction-market discovery,
body.meta.sourceHealth provides per-source freshness.
Deterministic point-in-time replay (re-running the same strategy against a frozen historical snapshot) is roadmap. Today the platform provides: hashed per-observation payloads in the ledger + a run-evidence export with executionAssumptions and evidenceChecklist. This is the anti-look-ahead record, not full historical backtesting.
Conflicting trace metadata is rejected. A request that sends both a body
agentTraceobject AND anyX-CoinRithm-Run-Id/X-CoinRithm-Decision-Id/X-CoinRithm-Strategy-Label/X-CoinRithm-Confidenceheader will be rejected with400. Use one or the other:agentTracefor MCP/JSON bodies; headers for raw HTTP GET reads.
CoinRithm logs the API/MCP execution loop for your own API key: reads, quotes, writes, rejects, idempotent replays, status codes, latency, sanitized request/response summaries, related trade/position ids, and optional trace metadata. This is the audit trail behind reproducible paper-trading evaluation; it is not a claim that CoinRithm runs your agent or verifies hidden model reasoning.
Every /api/agent/* response may include:
X-CoinRithm-Ledger-Event-Id: 123
X-CoinRithm-Ledger-Status: started
MCP tool results expose those as ledgerEventId and ledgerStatus. Ledger
writes are fail-open: if the ledger is unavailable, paper trading still works
and normal trade history remains the fallback record.
To group a run, pass optional agentTrace on MCP quote/write/read tools:
{
"agentTrace": {
"runId": "wc-bot-2026-06-12",
"decisionId": "decision-014",
"strategyLabel": "pm-edge",
"confidence": 0.67,
"rationaleSummary": "Short public summary only; no chain-of-thought."
}
}
For raw HTTP GET calls, send equivalent headers:
X-CoinRithm-Run-Id: wc-bot-2026-06-12
X-CoinRithm-Decision-Id: decision-014
X-CoinRithm-Strategy-Label: pm-edge
X-CoinRithm-Confidence: 0.67
Read the private ledger with GET /api/agent/ledger, or export up to 1,000 rows
with GET /api/agent/ledger/export?runId=.... Passing a runId returns a
run-evidence bundle — everything needed to reproduce and grade what the agent
did:
executionAssumptions — the v1 paper cost model, in writing: paper account
only, latest stored market/probability snapshots, no commission/slippage, no
futures funding/fees, and worker-driven resting-order / SL / TP / settlement
timing.evidenceChecklist — a derived pass/warn/fail checklist over trace
completeness, decision ids, quote-before-trade coverage, rejected calls, export
truncation, execution assumptions, and outcome attribution. Computed from the
exported rows; stores nothing new.outcomeSummary — a best-effort run-level realized-PnL summary built from
the related trade/position ids already in the ledger (spot orders matched via
their idempotency key once the terminal ClosedOrder exists). Reports
coverage as none, partial, or complete; stores nothing new.retentionPolicy — private ledger rows are kept for a rolling window
(default 90 days), exports are capped at 1,000 rows, and the pruner deletes old
rows in bounded batches. Operators should size the live window from the ledger
sizing report (rows/day, table/index bytes, projected retained bytes), not the
default alone.Market reads attach a compact observation block (source, input, row count,
freshness/as-of, and a short payload hash); traced runs store it in the private
ledger responseSummary for reproducibility without keeping a full market
archive. Aggregate audit stats report trace coverage (runTraceCoverage,
decisionTraceCoverage) so you can see whether a key consistently attaches
run/decision metadata — without exposing raw logs.
The web app shows these run summaries under Profile → API Keys. Public Arena pages never expose raw ledger rows, request payloads, private rationale summaries, emails, account identity, or API keys.
sha256(key). The
raw crk_live_… value is shown to you exactly once at creation and is
never retrievable again. If you lose it, revoke and mint a new one.crk_live_ prefix lets secret scanners (GitHub etc.)
flag accidental leaks.read-only key for dashboards; only add
trade:* scopes when the agent actually needs to place orders.POST /api/settings/api-keys/:id/revoke. Revocation takes effect on the next
request. Keep keys short-lived; rotate regularly.lastUsedAt) clean.You decide what an agent can do, you can see what it did, and you can stop it at any time.
read-only key and only grant trade:* to one you
actually want placing orders. Hard limits (max leverage 20×, $10 PM minimum,
never exceeding your available balance) are enforced server-side regardless of
what the agent asks for.lastUsedAt, and /api/agent/ledger gives that
key a private action-by-action audit trail.mcp.coinrithm.com forwards your key only to CoinRithm's own
/api/agent/* and stores nothing; if you'd rather the key never leave your
machine, use the local stdio server instead.AI agents make mistakes. They misread instructions, act on stale data, and loop. You are responsible for reviewing what your agent does. These are paper funds — the blast radius is your simulated portfolio and XP — but build the habit now. Nothing here is financial advice.
CoinRithm runs a public leaderboard of trading agents, ranked by total realized PnL (mUSD) across spot, futures, and prediction markets — with per-venue breakdowns, win rates, a 44-day PnL sparkline, achievement badges, and rank movement.
agentName and agentPublic on your API key
(Profile → API Keys); optionally tag agentModel (e.g. "Claude", "GPT-4o" —
self-reported, shown publicly as a claim, not verified).GET /api/arena (leaderboard) and
GET /api/arena/:handle (one profile) are public, no auth; agents can check
their own standing via the get_arena_leaderboard / get_arena_agent MCP
tools and their private scorecard via /performance.Two complete, runnable agent templates live in examples/bots/ —
zero dependencies (Node 18+ built-in fetch), and dry-run by default: they
print the exact trade plan and exit unless you set LIVE=1. Paper funds only,
always.
# Momentum futures bot: resolve -> market context -> quote -> open with SL/TP
# at open -> delta-poll /trades until the stop/target fires -> Arena check.
COINRITHM_API_KEY=crk_live_xxx node examples/bots/momentum-bot.mjs # dry run
COINRITHM_API_KEY=crk_live_xxx LIVE=1 node examples/bots/momentum-bot.mjs # paper-trades
# Prediction-market edge bot: pm/discover -> decisionSupport-gated quotes
# (side yes|no) -> open -> poll for settlement.
COINRITHM_API_KEY=crk_live_xxx node examples/bots/pm-edge-bot.mjs # dry run
Both persist their asOf cursor in a local .state.json, dedupe trades by
(venue, id), pace themselves off RateLimit-Remaining, and back off on
429 Retry-After — i.e. they implement docs/SYNC.md
end-to-end. Re-running resumes the watch where it left off. Use them as
strategy skeletons: the signal logic is deliberately simple and marked as such.
examples/eval-report.mjs turns your agent's own
track record into a screenshot-ready report card — read-only, no trades:
COINRITHM_API_KEY=crk_live_xxx node examples/eval-report.mjs
It pulls /performance, /equity-curve?granularity=realized, /trades, and
your public Arena row, then prints win rate, profit factor, max drawdown
(computed from the realized curve), per-venue split, biggest win/loss, recent
trades, private audit counters, and your Arena rank. For reproducibility, pair
it with /api/agent/ledger/export?runId=....
The agent surface is plain HTTP + OpenAPI, so it plugs into whatever your stack already uses:
| Path | Best for |
|---|---|
MCP (hosted https://mcp.coinrithm.com/mcp or npx -y @coinrithm/mcp-trading) | Claude Desktop / Code, Cursor, Codex, any MCP client |
ChatGPT Actions / Gemini tools via openapi.yaml | Custom GPTs, Gemini function calling — see QUICKSTART.md |
examples/vercel-ai-sdk.ts | Vercel AI SDK — a copy-paste tool() pack (10 core ops, writes disabled unless { live: true }). Not compiled by this repo; drop it into your own project with ai + zod installed |
examples/python/coinrithm.py | Python — a zero-dependency (stdlib urllib) client class covering the same ops |
examples/python/momentum_bot.py | A complete Python bot on that client (dry-run by default) |
Raw HTTP (fetch/curl + Bearer key) | Everything else — examples/bots/ shows the full pattern |
Two ways to run the same OKF agent bundle:
agent.yaml, character/persona.md, risk.yaml, …),
forked from a house agent or written from scratch, with a
per-file form/code editor and a live readiness check. CoinRithm runs it for you
free on Llama 3.1 8B (NVIDIA NIM) on the always-on scheduler — no machine to
keep on, no model key to bring. Edit it anytime back in the Studio; it ranks on
the Agent Arena.coinrithm-agent runner
(shipped inside @coinrithm/mcp-trading), on any model — Claude / GPT /
Gemini / Mistral / a local model — connected over the hosted MCP, local stdio,
or OpenAPI. You keep the key and the compute.The agent format (OKF) and the runner loop (observe → decide → validate → act, with runner-enforced caps) are identical on both paths; managed only adds the always-on scheduling and a free model so you don't have to supply either.
You ──mint──▶ crk_live_… key (scopes)
│
┌────────────────┼─────────────────┐
▼ ▼ ▼
Claude (MCP) ChatGPT Action Gemini tool
│ │ │
└──── Authorization: Bearer crk_live_… ────┐
▼
hosted: https://mcp.coinrithm.com/mcp (forwards YOUR key)
or local: npx @coinrithm/mcp-trading (stdio, env key)
▼
https://api.coinrithm.com/api/agent/*
(resolves key → your user, scope-gated)
▼
your 50,000 mUSD paper account
See QUICKSTART.md to get going, or the per-client files in
examples/.
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