Keploy

End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
69%
命名品質
94%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,298Token(工具定義)
~491 B典型回應大小
中等的注意力影響(128k 上下文的 1.01%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "mcp": {
      "url": "https://api.keploy.io/client/v1/mcp"
    }
  }
}

遠端端點

https://api.keploy.io/client/v1/mcpstreamable-http

它能做什麼

工具清單

工具(7)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🔴devloop_begin_oauth_install(editor)

Start the Path B agent-walked install for the V1 flow. Returns a playbook the AI walks with the dev to land a kep_* PAT in their editor's MCP config. Current implementation routes through app.keploy.io/settings/api-keys (the existing PAT-issuance surface). The full auto-provision OAuth round-trip (browser OAuth → /auth/temp-code/exchange → /user/mcp/provision → PAT auto-pasted) lands when the enterprise-ui /auth/cli-install page is built; this tool's interface won't change when that lifts, only the underlying steps will get shorter. ABSOLUTE: this tool surfaces a public URL. Do NOT print API keys, PATs, or OAuth tokens to the conversation. The dev pastes the secret into their editor config directly; the agent never sees it.

輸入結構描述

{
  "type": "object",
  "properties": {
    "editor": {
      "description": "Editor the dev is using (cursor / windsurf / claude-code / claude-desktop / vscode / trae). Tailors the config-path hint in the playbook. Omit if unknown.",
      "type": "string"
    }
  },
  "required": []
}
🔴devloop_setup_instructions

Return the V1 "user maintains the flow" install guide — covers Path A (clipboard one-liner), Path B (agent-walked OAuth), and the keploy/api-tests/ on-disk layout V1 creates. Safe to call without authentication; call this when the dev asks 'how do I add Keploy to this repo?' or when a devloop_* tool returns missing-API-key.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴get_auth_status

Check whether the current MCP session has a valid-looking Keploy PAT attached. Returns { authenticated, auth_header_present, hint }. Useful as a first step for an agent to decide whether to call other tools or show setup instructions — differentiates 'no header at all' from 'header present but wrong prefix / unsupported format'.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴get_setup_instructions

Return step-by-step instructions for connecting this MCP server to Cursor, Windsurf, VS Code, Claude Desktop, Claude Code, or Trae. Safe to call without authentication — use this when the user asks 'how do I set up Keploy MCP?' or when a tool call fails with an auth error.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴get_tool_schema(names)

Fetch the exact schema(s) for tool(s) you ALREADY know by name — e.g. names a skill/playbook gave you (getTestReportFull, updateTestCase, listTestReports, getMock, getTestCase, getApp, listApps, ...). Returns ONLY the named tools: no fuzzy matching, no unrelated tools. Use this instead of search_tools whenever you know the name — it is exact and cheap. Use search_tools only to DISCOVER names you do not already know. Returns {"tools": [{name, description, inputSchema}, ...], "not_found": [names...]}.

輸入結構描述

{
  "type": "object",
  "properties": {
    "names": {
      "description": "Exact tool names, e.g. [\"getTestReportFull\",\"updateTestCase\"].",
      "items": {
        "type": "string"
      },
      "type": "array"
    }
  },
  "required": [
    "names"
  ]
}
🔴invoke_tool(arguments, name)

Run any Keploy tool by name. Most tools are hidden from the default list. Know the name from a skill? get its schema with get_tool_schema; don't know the name? discover it with search_tools. Then call invoke_tool with that name and an "arguments" object matching the tool's inputSchema. Example: invoke_tool {"name": "getTestReportFull", "arguments": {"appId": "...", "testRunId": "...", "fields": ["status"]}}

輸入結構描述

{
  "type": "object",
  "properties": {
    "arguments": {
      "description": "Arguments object matching the target tool's inputSchema. Omit or pass {} for tools that take no args.",
      "properties": {},
      "type": "object"
    },
    "name": {
      "description": "Exact tool name from search_tools, e.g. 'getTestReportFull'.",
      "type": "string"
    }
  },
  "required": [
    "name"
  ]
}
🔴search_tools(limit, query)

DISCOVER tool names you do NOT already know, by keyword. Most Keploy tools are hidden from the default tool list to save context. If you ALREADY know the exact name (e.g. a skill named it), call get_tool_schema instead — it is exact and far cheaper than this fuzzy search. Returns {"matches": [{name, description, inputSchema}, ...], "total_catalog": N}. Search by intent words, e.g. "test report", "mock patch", "update test case", "cloud replay branch", "record".

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Max results (default 10).",
      "type": "number"
    },
    "query": {
      "description": "Keywords matched against tool name + description, e.g. 'test report fields' or 'mock patch'.",
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

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