How does Reqly store API collections?
Collections are stored as plain YAML files in a `.reqly/` directory within your repository – making them git‑native and directly writable by agents.
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基本信息
PI client built for AI agents. MCP tools for
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"reqly": {
"command": "reqly",
"args": [
"start",
"--project-dir",
"${workspaceFolder}"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Reqly is a local MCP server for API testing. Install it once, connect your AI agent in Cursor or Claude Code, and your agent gets a full toolkit to build, run, and ship API tests – no UI required, no manual wiring.
Install globally with npm install -g reqly-app. Connect an AI agent that supports MCP stdio (Cursor, Claude Code, Claude Desktop, Gemini CLI, Codex). The agent can then read routes, build collections, run end‑to‑end flows, and export tests to CI using built‑in MCP tools.
.reqly/ – git‑native and human‑readable..github/workflows/ with JUnit output as a build artifact.Collections are stored as plain YAML files in a `.reqly/` directory within your repository – making them git‑native and directly writable by agents.
Reqly works with Cursor, Claude Code, Claude Desktop, Gemini CLI, Codex, and any tool that supports the MCP stdio protocol.
No. Reqly requires no cloud account, no telemetry, and no sync. Everything runs locally on your machine.
Install globally via npm: `npm install -g reqly-app`.
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