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mcp-workflowMCP 工作流

Agent Skill

mcp-workflow 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

30,148

周安装

1,295

GitHub Stars

1

下载量

10,567
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-workflow(MCP 工作流)
来源仓库:https://github.com/slemo54/mcp-workflow
安装命令:
openclaw skills install mcp-workflow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mcp-workflow

简介

基于Jason Zhou启发的MCP模式实现工作流程自动化。

  • 在OpenClaw中支持多步骤任务的编排与状态管理。
  • 适用于需要顺序执行、条件分支和结果聚合的业务逻辑场景。
  • 安装命令:openclaw skills install mcp-workflow
  • 使用前请评估任务超时、重试机制与失败回滚策略

SKILL.md

name
mcp-workflow
description
Workflow automation using MCP (Model Context Protocol) patterns inspired by Jason Zhou
version
1.0.0
author
OpenClaw

MCP Workflow Skill

Quick Reference

# Start MCP Server
node scripts/mcp-server.js

# Run a workflow
./scripts/workflow-engine.sh run <workflow-name> [--input <json>]

# List available workflows
./scripts/workflow-engine.sh list

# Create new workflow from template
./scripts/workflow-engine.sh create <name> --from <template>

# Validate workflow
./scripts/workflow-engine.sh validate <workflow-file>

Overview

This skill implements workflow automation using the Model Context Protocol (MCP), enabling:

  • Prompt Chains: Multi-step prompt sequences
  • Dynamic Workflows: Context-aware adaptation
  • Resource Integration: File/data embedding
  • Cross-Server Coordination: Multi-MCP orchestration

Workflow Patterns

1. Prompt Chain Pattern

plan → generate → execute → validate

2. Dynamic Prompt Pattern

context → adapt → generate → output

3. Resource Embedding Pattern

resource://{type}/{id} → load → embed → process

4. External Trigger Pattern

trigger → validate → dispatch → execute

Built-in Templates

TemplateDescriptionUse Case
meal-plannerWeekly meal planningNutrition, shopping lists
code-reviewAutomated code reviewPR analysis, quality checks
weekly-reportStatus report generationTeam updates, metrics
documentation-generatorDoc generationAPI docs, changelogs

MCP Server Features

Resources

  • file://{path} - File system access
  • memory://{key} - Memory storage
  • config://{section} - Configuration values

Tools

  • workflow.run - Execute workflow
  • workflow.list - List workflows
  • workflow.validate - Validate workflow JSON
  • prompt.render - Render prompt template

Prompts

  • chain:plan - Planning prompt
  • chain:generate - Generation prompt
  • chain:review - Review prompt

Example Usage

Meal Planner Workflow

./scripts/workflow-engine.sh run meal-planner \
  --input '{"diet":"vegetarian","days":7,"budget":50}'

Code Review Workflow

./scripts/workflow-engine.sh run code-review \
  --input '{"repo":"myapp","pr":123}'

Weekly Report

./scripts/workflow-engine.sh run weekly-report \
  --input '{"project":"dashboard","week":"2024-W01"}'

Best Practices

1. Workflow Design

  • Keep steps atomic and focused
  • Use clear input/output contracts
  • Implement error handling at each step
  • Version your workflows

2. Prompt Engineering

  • Use system prompts for context
  • Provide examples in few-shot prompts
  • Chain prompts for complex tasks
  • Validate outputs before next step

3. Resource Management

  • Use URI patterns consistently
  • Cache frequently accessed resources
  • Clean up temporary resources
  • Document resource schemas

4. Cross-Server Coordination

  • Define clear interfaces between servers
  • Use standardized message formats
  • Implement health checks
  • Handle timeouts gracefully

Configuration

Create ~/.openclaw/mcp-workflow.json:

{
  "servers": [
    {
      "name": "local",
      "command": "node scripts/mcp-server.js",
      "env": {}
    }
  ],
  "workflowsDir": "./workflows",
  "templatesDir": "./scripts/templates",
  "defaultTimeout": 30000
}

Integration with OpenClaw

Use in your OpenClaw session:

# Load the skill
openclaw skill load mcp-workflow

# Run workflow
openclaw workflow run meal-planner --input '{"days":5}'

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.19%
按下载量换算9,530

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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