The trading agent registry.
Every skill, MCP server, and execution API for building autonomous trading agents, scored on one public set of criteria and ranked. We run all of them through the same rubric so you can compare like for like.
Ranked
| # | Project | Score |
|---|---|---|
| 01 | OKX Agent Trade Kit Official open-source MCP toolkit, ~164 tools across spot, perps, options, and grid bots. Keys stay off the model. | 4.60 / 5 |
| 02 | Superior Trade Managed execution, backtesting, and a deployment lifecycle behind agent-callable endpoints, with an atomic one-call exit and HIP-3 coverage. Closed core, public OpenAPI and docs. | 4.50 / 5 |
| 03 | Senpi Open-source skill library (~65 MCP tools) with strategy archetypes, dynamic stops, and capital isolation per skill. | 4.35 / 5 |
| 04 | Kraken CLI Single-binary execution engine, 134 commands, built-in MCP server and paper-trading mode. CEX only. | 3.95 / 5 |
| 05 | Alpaca MCP Official MCP server for the Alpaca brokerage API. Strong on regulated equities, lighter on crypto-native primitives. | 3.60 / 5 |
| 06 | Dwellir hyperliquid-skills Open skill set for placing and managing Hyperliquid positions from an agent. Thin on backtest/deploy. | 3.30 / 5 |
| 07 | HKUDS AI-Trader Agent-native trading framework where agents join via messages; strong research/backtest story, lighter execution safety. | 3.30 / 5 |
| 08 | TradingAgents Popular open-source multi-agent LLM framework that simulates a trading firm (analysts, researchers, trader, risk debate). Research and backtest focused, not a live-execution layer. | 3.25 / 5 |
| 09 | Bankr / OpenClaw skills Wallet-centric skills for swaps, limits, DCA, and leverage across Base, Ethereum, Solana and more. | 3.15 / 5 |
| 10 | edkdev hyperliquid-mcp Community MCP server wrapping the Hyperliquid SDK, with agent-wallet delegation. Solo-maintained, no lifecycle tooling. | 3.10 / 5 |
| 11 | Composer No-code rules-based strategy platform with solid backtest and deploy, but built for humans more than callable agents. | 3.05 / 5 |
Scores are our assessment of public docs and code as of June 2026, weighted per the methodology. They are estimates, not paid placements. Corrections welcome.
FAQ
How is the ranking calculated?
A weighted score across five criteria: execution, safety, lifecycle, agent-native, and openness. Weights and definitions are on the methodology page. Each score (0–5) is our reading of the project's public docs and code, not a paid placement.
Is this an independent ranking?
Scores come from each project's public docs and code, not paid placements or vendor submissions. The full rubric is on the methodology page, and if a score looks wrong you can send a correction and we will update it.
What does "agent-native" mean?
Whether the tool is built to be called by an autonomous agent: exposed as MCP tools or a typed skill with a clear schema, not a human-only dashboard.
How do I get my tool added or a score fixed?
Open an issue or email us with the repo or docs link and the correction. We re-score against the published criteria and update the list.