All servers · Markets & trading · AI models & agents · Build & deploy
Autotrade — Autonomous Trading Agents
com.bitcoinsllm/autotrade · v1.4.2
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | prompts, tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Deploy autonomous LLM trading agents and drive them over MCP.
Connect
streamable-http · https://agent.bitcoinsllm.com/mcp
claude mcp add --transport http autotrade https://agent.bitcoinsllm.com/mcp{
"mcpServers": {
"autotrade": {
"url": "https://agent.bitcoinsllm.com/mcp"
}
}
}sse · https://agent.bitcoinsllm.com/sse
claude mcp add --transport http autotrade https://agent.bitcoinsllm.com/sse{
"mcpServers": {
"autotrade": {
"url": "https://agent.bitcoinsllm.com/sse"
}
}
}Tools as reported by the server
deploy_agentCreate and start an autonomous trading agent. Provide a strategy prompt, a model, and the exchange/model keys the agent should use to place orders.run_backtestBacktest a strategy against historical market data and return performance stats and an equity curve.agent_statusReturn the live status of a deployed agent: PnL, open positions, uptime, error count.agent_logsReturn the recent decision log for an agent — each entry with the model's reasoning and the order placed.grant_agent_credentialsAttach or rotate the exchange and model-provider keys an agent uses. Keys are scoped to that agent.agent_executeRun an ad-hoc command inside the agent's runtime environment (for debugging a strategy or inspecting state).
Website · JSON · Text for agents · Registry updated 2026-09-17