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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Basic information
PI client built for AI agents. MCP tools for
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"reqly": {
"command": "reqly",
"args": [
"start",
"--project-dir",
"${workspaceFolder}"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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