INDIVIDUAL MCP TOOL
run_backtest
Backtest a strategy against historical market data and return performance stats and an equity curve.
LIVE ENDPOINT
https://agent.bitcoinsllm.com/mcp
Connect to this endpoint to inspect the live schema for run_backtest and invoke it with your own arguments.
Indexed input schema
{}Risk classification
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.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.autotrade-agent]
url = "https://agent.bitcoinsllm.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"autotrade-agent": {
"type": "http",
"url": "https://agent.bitcoinsllm.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: autotrade-agent
Remote MCP URL: https://agent.bitcoinsllm.com/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": {
"autotrade-agent": {
"url": "https://agent.bitcoinsllm.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"autotrade-agent": {
"type": "http",
"url": "https://agent.bitcoinsllm.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "autotrade-agent",
"transport": "streamable-http",
"url": "https://agent.bitcoinsllm.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
deploy_agent— Create and start an autonomous trading agent.agent_status— Return the live status of a deployed agent: PnL, open positions, uptime, error count.agent_logs— Return the recent decision log for an agent — each entry with the model's reasoning and the order placed.grant_agent_credentials— Attach or rotate the exchange and model-provider keys an agent uses.agent_execute— Run an ad-hoc command inside the agent's runtime environment (for debugging a strategy or inspecting state).