INDIVIDUAL MCP TOOL

stop_agent

Aurora agent surface (no LLM cost — pure state transition).

nexustrade.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://nexustrade.io/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for stop_agent and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.nexustrade]
url = "https://nexustrade.io/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "nexustrade": {
      "type": "http",
      "url": "https://nexustrade.io/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: nexustrade
Remote MCP URL: https://nexustrade.io/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "nexustrade": {
      "url": "https://nexustrade.io/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "nexustrade": {
      "type": "http",
      "url": "https://nexustrade.io/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "nexustrade",
  "transport": "streamable-http",
  "url": "https://nexustrade.io/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_agents — Aurora agent surface (no LLM cost on this call itself — pure DB read).
create_agent — ⚠ COSTS LLM CREDITS on the NexusTrade account — spins up an Aurora agent via Router V5 classification + ReAct execution loops, billed per token.
send_chat_message — ⚠ COSTS LLM CREDITS — same path as POST /api/chat.
get_agent — Aurora agent surface (no LLM cost on this call — pure DB read).
get_agent_trajectory — Aurora agent surface (no LLM cost on this call — pure DB read).
query_backtest_history — Return a time series of {time, value, cash, positionValue, comparisonValue, reservedCollateral} per tick for a completed backtest.
query_backtest_status — Return the parent backtest document's status, error, interval, timestamps, elapsed time, and completed statistics without reading history/events.
create_portfolio_variant — Deep-copy a source chat or deployed portfolio into a new ChatPortfolio with fresh strategy IDs.