Decker is an MCP server with 14 tools an agent can call, among them decker.close_position, decker.get_assembly, decker.get_market_state. It answers at https://api.decker-ai.com/api/v1/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Deterministic market-state engine for trading agents — state, gate, coordinates, with receipts.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
decker.close_position | Axis③ (Order/Execution) — closes (or partially reduces) an existing position through DECKER'S OWN execution engine (see decker.place_order for what that means — same account-linkage requirement applies here for real positions). Unlike place Inputs: symbol, close_fraction |
decker.get_assembly | Multi-timeframe optimal-path assembly per symbol (STRATEGY_LAYER §8): one deterministic machine verdict combining all live timeframes — direction, grade (aligned | structure+pullback | exhaustion-reversal), entry (now vs wait, with source T Inputs: symbol |
decker.get_market_state | Market State v0 — current engine structural state for a symbol/timeframe (latest evaluated bar, persisted engine emit read as-is, zero recompute). DOMAIN FRAME (why this engine exists): the market is read as a TARGET GAME — every coordinate Inputs: symbol, timeframe |
decker.get_positions | Axis③ (Order/Execution) — this user's actual exposure: real open futures positions (execution_mode=real, with live sl_price/tp_price), virtual (paper) open positions, and the last 10 closed round-trips per mode. This is what your money actu |
decker.get_reading | AI-synthesized market reading for a symbol/timeframe, in customer-facing language: current state description, directional bias scores, bidirectional break targets, MTF verdict per timeframe, and an execution hint (stance + long/short setups Inputs: symbol, tf, include_tfs |
decker.get_signals | Active trading signals for the current user (with Skill Overlay applied), in customer-facing shape: coordinates (entry/target/stop), decision (ENTER/WAIT/SKIP — is_actual_trigger=true only for ENTER; WAIT/SKIP are standing candidates, not e Inputs: symbols, min_progress, action_gate, timeframe, limit |
decker.get_state_timeline | Market State v0 — per-bar state timeline for a symbol/timeframe (same schema as decker.get_market_state, except each item carries a SLIM `game` tag {status, target_id, zt_regime, provenance} instead of the full game block — read status tran Inputs: symbol, timeframe, since, limit |
decker.get_trigger_history | ACTION axis — actual historical GO triggers (not standing WATCH/HOLD candidates) for a symbol, with entry/target/stop coordinates and realized performance (mfe_pct/mae_pct/exit_reason/exit_price from trigger_performance, null = still open). Inputs: symbol, timeframe, since, limit |
decker.get_user_skills | Trading skill catalog + currently active overlay for this user. Returns 8 published skills (conservative_v0/standard_v0/aggressive_v0/default_v0/scalp_v0/tight_v0/wide_v0/swing_v0) and the user's selected one. |
decker.get_view | The engine's VIEW for a symbol — the same composed card the daily briefing sends (single composer, verbatim): overall verdict, big/main timeframe alignment, the current game narrative in plain language, coordinates (baseline ref_price / tar Inputs: symbol, tf |
decker.place_order | Axis③ (Order/Execution) — unlike every other tool here, this one moves money. It places a market order through DECKER'S OWN execution engine (same path as the decker-ai.com chat trading UI, source='mcp') — it does NOT hand off to your own b Inputs: symbol, side, notional_usd |
decker.set_skill_overlay | Change active trading skill overlay for this user. Immediately affects all subsequent get_signals calls and downstream channels. Inputs: skill_id |
decker.update_protective_stops | Axis③ (Order/Execution) — modifies the stop-loss and/or take-profit on an EXISTING open position. There is no cancel_order tool because Decker only places market orders (there is no resting order to cancel) — the actual gap this fills is mo Inputs: symbol, sl_price, tp_price, mode |
decker.validate_intent | Pre-trade gate check for a proposed order intent. Call this BEFORE placing any order through any execution tool (e.g. a broker MCP's review→place flow). Checks the intent (symbol + side) against Decker's deterministic market state: engine a Inputs: symbol, side, order_type, timeframe |
Every block below points at https://api.decker-ai.com/api/v1/mcp. Pick your client and copy.
claude mcp add --transport http decker https://api.decker-ai.com/api/v1/mcp
{
"mcpServers": {
"decker": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.decker-ai.com/api/v1/mcp"]
}
}
}{
"mcpServers": {
"decker": {
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"servers": {
"decker": {
"type": "http",
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"context_servers": {
"decker": {
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"mcpServers": {
"decker": {
"serverUrl": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"mcpServers": {
"decker": {
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}name: Decker
version: 0.0.1
schema: v1
mcpServers:
- name: Decker
type: streamable-http
url: https://api.decker-ai.com/api/v1/mcp{
"mcpServers": {
"decker": {
"httpUrl": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"mcpServers": {
"decker": {
"type": "http",
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}{
"mcpServers": {
"decker": {
"url": "https://api.decker-ai.com/api/v1/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.decker-ai.com%2Fapi%2Fv1%2Fmcp&type=streamable_http&id=decker&name=Decker
It answered our last check on 22 October 2026 in 398 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
14, as returned by the server's own tools/list on 14 September 2026: decker.close_position, decker.get_assembly, decker.get_market_state, decker.get_positions, decker.get_reading, decker.get_signals, decker.get_state_timeline, decker.get_trigger_history, and 6 more.
It answered our last check on 22 October 2026 in 398 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.decker-ai.com/api/v1/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.gigshow. Endpoint host: api.decker-ai.com. ARD identifier: urn:air:io.github.gigshow:mcp:decker.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.