OpenClaw量化交易工具集
Connect an agent to quantitative trading workflows—indicators, backtests, risk checks, and market data pipelines—while building or tuning algo tools.
Overview
io.github.followtz/openclaw-swe-mcp is a MCP server for the Build phase that exposes 27 quantitative-trading tools for indicators, backtests, risk analysis, and data pipelines.
What is this MCP server?
- 27 MCP tools spanning strategy metrics, backtest engine, risk analysis, and data pipelines
- Hosted remote endpoint at clawmcpinone.work for streamable-http clients
- Open-source OpenClaw lineage on GitHub for followtz/openclaw
- Covers indicator computation through pipeline-style market data handling
- Designed as a full quant tool surface rather than a single backtest helper
- 27 MCP tools documented for strategy indicators, backtest engine, risk analysis, and data pipelines
- Remote MCP URL: https://clawmcpinone.work (streamable-http)
What problem does it solve?
You want to backtest and stress-test trading ideas from your agent but lack a unified MCP layer for metrics, simulation, risk, and market data.
Who is it for?
Solo builders prototyping algo strategies, paper-trading workflows, or fintech agents that need backtest and risk MCP calls.
Skip if: Casual app builders with no trading intent or anyone expecting turnkey compliance, brokerage, or live execution guarantees.
What do I get? / Deliverables
After registration against the remote endpoint, your agent can call quant tools in one place while you iterate strategy and integration code.
- Backtest runs and indicator outputs usable in strategy iteration
- Risk-oriented analyses the agent can reference in code or docs
- Pipeline-assisted market data steps wired into your quant agent workflow
Recommended MCP Servers
Journey fit
Quant stacks are assembled during Build when you integrate external engines and data feeds into bots, dashboards, or research agents. The server is a remote MCP integration (streamable HTTP) meant to be registered in your agent, not a standalone shipped binary.
How it compares
Remote quant MCP integration with 27 tools, not a generic spreadsheet skill or a single-indicator script.
Common Questions / FAQ
Who is io.github.followtz/openclaw-swe-mcp for?
Developers and indie quants shipping agent-assisted trading research who want indicators, backtests, risk views, and pipelines via MCP.
When should I use io.github.followtz/openclaw-swe-mcp?
Use it in Build while integrating a quant research or bot stack and you need repeatable backtest and risk tooling from Claude Code or another MCP client.
How do I add io.github.followtz/openclaw-swe-mcp to my agent?
Add a streamable-http MCP remote pointing to https://clawmcpinone.work per the server manifest, include any headers your deployment requires, restart the client, and verify the 27 trading tools are listed.