How do I install the MCP Workflow skill?

Run npx skillmds@latest add dvcrn/mcp-workflow in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is MCP Workflow safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with MCP Workflow?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is MCP Workflow free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published MCP Workflow?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

MCP Workflow by dvcrn — Agent Skill

Name: MCP Workflow
Rating: 4.2 (5 reviews)
Author: dvcrn

File contents

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

Template	Description	Use Case
`meal-planner`	Weekly meal planning	Nutrition, shopping lists
`code-review`	Automated code review	PR analysis, quality checks
`weekly-report`	Status report generation	Team updates, metrics
`documentation-generator`	Doc generation	API 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

MCP Specification
Workflow Patterns
Jason Zhou Insights

---name: mcp-workflowdescription: Workflow automation using MCP (Model Context Protocol) patterns inspired by Jason Zhou---# MCP Workflow Skill## Quick Reference```bash# Start MCP Servernode 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>```## OverviewThis 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| Template | Description | Use Case ||----------|-------------|----------|| `meal-planner` | Weekly meal planning | Nutrition, shopping lists || `code-review` | Automated code review | PR analysis, quality checks || `weekly-report` | Status report generation | Team updates, metrics || `documentation-generator` | Doc generation | API 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```bash./scripts/workflow-engine.sh run meal-planner \ --input '{"diet":"vegetarian","days":7,"budget":50}'```### Code Review Workflow```bash./scripts/workflow-engine.sh run code-review \ --input '{"repo":"myapp","pr":123}'```### Weekly Report```bash./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## ConfigurationCreate `~/.openclaw/mcp-workflow.json`:```json{ "servers": [ { "name": "local", "command": "node scripts/mcp-server.js", "env": {} } ], "workflowsDir": "./workflows", "templatesDir": "./scripts/templates", "defaultTimeout": 30000}```## Integration with OpenClawUse in your OpenClaw session:```bash# Load the skillopenclaw skill load mcp-workflow# Run workflowopenclaw workflow run meal-planner --input '{"days":5}'```## References- [MCP Specification](references/mcp-spec.md)- [Workflow Patterns](references/workflow-patterns.md)- [Jason Zhou Insights](references/jason-zhou-insights.md)

Frequently asked questions

MCP Workflow