MCP 生成
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- 作者更新于 实时读取
- 作者仓库 skills-registry
- 领域
- AI 智能
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @tomevault-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需简单配置
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- Python
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 读取环境变量
- 网络行为
- 允许外网请求
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: noui-generate-mcp
description: Use this skill when the user wants to start, stop, check, or list generated NoUI MCP servers, or…
category: AI 智能
runtime: Python
---
# noui-generate-mcp 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Critical Rules (Never Violate) / Step 1 — List Available Servers / Step 2 — Start a Server”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Critical Rules (Never Violate) / Step 1 — List Available Servers / Step 2 — Start a Server”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、读取环境变量、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令、读取环境变量;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/noui-record-workflow`、`/noui-generate-mcp`、`/mcp` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令、读取环境变量。
先用一个小任务确认它会围绕“Critical Rules (Never Violate) / Step 1 — List Available Servers / Step 2 — Start a Server”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: noui-generate-mcp
description: Use this skill when the user wants to start, stop, check, or list generated NoUI MCP servers, or…
category: AI 智能
source: tomevault-io/skills-registry
---
# noui-generate-mcp
## 什么时候使用
- 把 AI / Agent方向的常用动作沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Critical Rules (Never Violate) / Step 1 — List Available Servers / Step 2 — Start a Server」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令、读取环境变量;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "noui-generate-mcp" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Critical Rules (Never Violate) / Step 1 — List Available Servers / Step 2 — Start a Server
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件、执行终端命令、读取环境变量 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} NoUI MCP Server Lifecycle
Manage generated FastMCP servers and connect them to Claude Code. Servers are generated by /noui-record-workflow and live under workbench/mcp_servers/<app_slug>/<server_id>/.
All commands run from the noui/ directory using .venv/bin/python cli/main.py.
Prerequisite: At least one server must exist under workbench/mcp_servers/. Run /noui-record-workflow first if none exist.
How requests are executed: by default, each tool opens a WebSocket to Tabby's CDP endpoint and runs fetch(..., {credentials: 'include'}) inside the authenticated browser. A live Tabby session with the target site open is required at invocation time. See /noui-record-workflow → How Execution Works for the full explanation and the --execution-mode http escape hatch.
Critical Rules (Never Violate)
- ALWAYS run
mcp listfirst to get the exactserver_idbefore any other command - NEVER edit
server.pyormanifest.jsondirectly — regenerate by re-runningworkflow export --as mcp - When adding to
~/.claude.json, ALWAYS use the absolute path to.venv/bin/python— not the systempythonorpython3 - ALWAYS restart Claude Code after editing
~/.claude.json— the config is read at startup - You do not need to run
mcp startseparately when using the~/.claude.jsonstdio config — Claude Code launches the process automatically
Every generated server folder includes an API.md file — a human-readable API reference for all tools. Read it to understand a server's tools without inspecting tools.json or operation files. Refresh it with mcp docs <server_id> after any edit to tools.json.
Step 1 — List Available Servers
.venv/bin/python cli/main.py mcp list
Output:
MCP servers:
SERVER ID APP TOOLS STATUS
-----------------------------------------------------------------------
hubspot-create-contact-abc12345 HubSpot 3 stopped
jsonplaceholder-test-3ab1cc83 Jsonplaceholder Test 2 running (PID 46929)
Note the server_id of the server you want to manage.
Step 2 — Start a Server
.venv/bin/python cli/main.py mcp start <server_id>
Spawns the server process in the background. Logs go to:
workbench/mcp_servers/<app_slug>/<server_id>/.mcp-<server_id>.log
MCP stdio servers exit immediately when there is no connected client — this is expected. The server is not meant to run continuously standalone; it is launched on-demand by the client.
Step 3 — Check Server Status
.venv/bin/python cli/main.py mcp status <server_id>
For servers that use CDP (Akamai-protected sites like Expedia), status also shows browser session health:
CDP : ✓ reachable (localhost:9222) ← worker is running
CDP : ✗ not reachable (localhost:9222) ← run: noui tabby session ensure
Step 4 — Stop a Server
.venv/bin/python cli/main.py mcp stop <server_id>
Sends SIGTERM and clears the PID file.
Step 5 — Connect to Claude Code
Add the server to ~/.claude.json under mcpServers. Claude Code launches the server process automatically via command + args.
{
"mcpServers": {
"<server_id>": {
"type": "stdio",
"command": "/absolute/path/to/noui/.venv/bin/python",
"args": [
"/absolute/path/to/noui/workbench/mcp_servers/<app_slug>/<server_id>/server.py"
]
}
}
}
Concrete example (replace paths with your actual noui directory):
{
"mcpServers": {
"jsonplaceholder-test-3ab1cc83": {
"type": "stdio",
"command": "/home/gabriel/Documents/adopt/noui/.venv/bin/python",
"args": [
"/home/gabriel/Documents/adopt/noui/workbench/mcp_servers/jsonplaceholder-test/jsonplaceholder-test-3ab1cc83/server.py"
]
}
}
}
After saving, restart Claude Code. The tools defined in the server will be available in Claude Code's tool list. You can verify by running /noui-generate-mcp in Claude Code.
Decision Flow
Start
│
├─ Need to see what servers exist?
│ └─ Step 1: mcp list
│
├─ Auth not working / not sure if server is ready?
│ ├─ mcp verify <server_id> → PASS / NEEDS_SECRET / REPAIR_APPLIED
│ └─ mcp diagnose-auth <server_id> → full breakdown with repair suggestions
│
├─ Need to run a server standalone (test/debug)?
│ ├─ Step 2: mcp start <server_id>
│ ├─ Step 3: mcp status <server_id>
│ └─ Step 4: mcp stop <server_id>
│
└─ Need to use tools from Claude Code?
└─ Step 5: add to ~/.claude.json → restart Claude Code
└─ Verify: /mcp in Claude Code shows the server
CLI Command Reference
| Command | Purpose |
|---|---|
.venv/bin/python cli/main.py mcp list |
List all generated servers with running status |
.venv/bin/python cli/main.py mcp start <server_id> |
Start a server process in the background |
.venv/bin/python cli/main.py mcp stop <server_id> |
Stop a running server process |
.venv/bin/python cli/main.py mcp status <server_id> |
Show running state, tool count, manifest path, and CDP reachability (for browser-based servers) |
.venv/bin/python cli/main.py mcp docs <server_id> |
Regenerate API.md from current tools.json |
.venv/bin/python cli/main.py mcp docs <server_id> --check |
Exit non-zero if API.md is stale (for CI / agent validation) |
.venv/bin/python cli/main.py mcp verify <server_id> |
Run AuthVerifier — reports PASS / REPAIR_APPLIED / NEEDS_SECRET / UNSUPPORTED |
.venv/bin/python cli/main.py mcp diagnose-auth <server_id> |
Full auth diagnosis: strategy, env var status, per-step verification, repair suggestions |
Troubleshooting
| Symptom | Fix |
|---|---|
mcp list shows no servers |
No workflows exported yet — run /noui-record-workflow first |
MCP server '<id>' not found |
Run mcp list to get the exact server_id string |
| Server crashes immediately | Check .mcp-<server_id>.log in the server dir for Python errors |
| Stale PID (shows running but is not) | mcp stop <server_id> clears stale PID; then mcp start again |
| Claude Code does not see tools after adding to config | Confirm absolute paths are correct; restart Claude Code; run /noui-generate-mcp to verify connection |
server.py not found error |
Re-run workflow export --as mcp for that session to regenerate the server |
| Auth errors at runtime (authenticated server) | Run mcp diagnose-auth <server_id> — shows missing env vars and repair steps |
NEEDS_SECRET <VAR> from verify |
Set <VAR>=<value> in noui/.env and re-run mcp verify <server_id> |
Server is v1 (no auth_plan.json) |
Re-export with workflow export --as mcp ... --profile-slug <slug> --verify to upgrade to v2 |
| Tool fails with "All connection attempts failed" | CDP-based server needs browser session — run mcp status <server_id> to check CDP, then noui tabby session ensure |
| Tabby session shows HEALTHY but tools still fail | Worker crashed but DB state is stale — run noui tabby session ensure (auto-detects and restarts dead workers) |
Exported server has profile_slug: null |
No --profile-slug was passed at export time — re-export: workflow export --as mcp <session_id> --profile-slug <slug> |
Source: adoptai/noui — distributed by TomeVault.
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边界和复核