MCP Workflow Server

slzcdhd/mcp-workflow-server
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Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Orchestrates multiple MCP tool calls into sequential workflows with conditional logic, data transformation via JSONPath, and workflow templates.

README.md

MCP Workflow Server

A powerful orchestration server for the Model Context Protocol (MCP) that enables chaining multiple MCP tool calls into unified workflows.

Overview

MCP Workflow Server allows you to:

  • Chain multiple MCP tool calls into sequential workflows
  • Save and reuse workflows as templates for common tasks
  • Use JSONPath expressions to pass data between workflow steps
  • Support conditional execution with if/else logic
  • Manage multiple MCP servers from a single orchestration point

Features

  • 🔗 Workflow Orchestration: Chain multiple MCP tool calls with data flow between steps
  • 📦 Workflow Templates: Save and reuse common workflow patterns
  • 🔀 Data Transformation: Use JSONPath expressions to extract and transform data between steps
  • Conditional Logic: Execute steps conditionally based on previous results
  • 🌐 Multiple Transports: Support for both stdio and SSE (Server-Sent Events) transports
  • 🔄 Hot Reload: Automatic configuration reloading when config files change
  • 📊 Comprehensive Logging: Detailed execution logs for debugging

Installation

npm install
npm run build

Quick Start

1. Configure MCP Servers

Create a config.json file (use config.example.json as a template):

{
  "mcpServers": {
    "gitlab": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-gitlab"],
      "env": {
        "GITLAB_PERSONAL_ACCESS_TOKEN": "your-token",
        "GITLAB_API_URL": "https://gitlab.com/api/v4"
      }
    },
    "playwright": {
      "command": "npx",
      "args": ["@playwright/mcp@latest"]
    },
    "crawl4ai": {
      "type": "sse",
      "url": "http://localhost:11235/mcp/sse"
    }
  }
}

2. Start the Server

Stdio Mode (default): ``bash npm start ``

SSE Mode: ```bash npm run start:sse

or

TRANSPORT_TYPE=sse PORT=3001 npm start ```

Custom Workflows Path: ```bash

Use custom workflows file

npm start -- --workflows ./custom-workflows.json

Or with full options

node dist/main.js --config ./config.json --workflows ./my-workflows.json --transport sse --port 3001 ```

3. Use the Workflow Tools

The server provides three main tools:

get_workflows

Lists all available workflow templates: ``json { "tool": "get_workflows", "arguments": {} } ``

execute_workflow

Executes a workflow with initial inputs: ``json { "tool": "execute_workflow", "arguments": { "workflow_spec": { "description": "Search GitLab and open first result", "steps": [ { "server_name": "gitlab", "tool_name": "search_repositories", "outputs": { "url": "$.items[0].web_url" } }, { "server_name": "playwright", "tool_name": "browser_navigate", "inputs": { "url": "$.url" } } ] }, "initial_workflow_inputs": { "search": "react" } } } ``

add_workflow

Saves a new workflow template: ``json { "tool": "add_workflow", "arguments": { "name": "search_and_browse", "workflow_spec": { "description": "Search GitLab repositories and open the first result in browser", "steps": [...] } } } ``

Workflow Specification

Basic Structure

{
  "description": "Clear description of what the workflow does",
  "steps": [
    {
      "server_name": "target_mcp_server",
      "tool_name": "tool_to_call",
      "if": "optional_condition",
      "inputs": {
        "param1": "$.path.to.data",
        "param2": "static_value"
      },
      "outputs": {
        "variable_name": "$.result.path"
      }
    }
  ]
}

Step Properties

  • server_name (required): Name of the MCP server to call
  • tool_name (required): Name of the tool to invoke
  • if (optional): Boolean condition for conditional execution
  • inputs (optional): Input parameters with JSONPath expressions or static values
  • outputs (optional): Output mappings using JSONPath expressions

JSONPath Examples

Extract data from previous step results:

{
  "inputs": {
    "url": "$.items[0].web_url",           // First item's URL
    "names": "$.users[*].name",            // All user names
    "count": "$.items.length",             // Array length
    "first_user": "$.users[0]"             // First user object
  }
}

Conditional Execution

{
  "server_name": "some_server",
  "tool_name": "conditional_tool",
  "if": "items.length > 0",
  "inputs": {
    "data": "$.items[0]"
  }
}

Example Workflows

1. Search and Browse Workflow

{
  "search_and_browse": {
    "description": "Search GitLab repositories and open the first result in browser",
    "steps": [
      {
        "server_name": "gitlab",
        "tool_name": "search_repositories",
        "outputs": {
          "url": "$.items[0].web_url",
          "name": "$.items[0].name"
        }
      },
      {
        "server_name": "playwright",
        "tool_name": "browser_navigate",
        "inputs": {
          "url": "$.url"
        }
      }
    ]
  }
}

2. Web Scraping and Analysis

{
  "scrape_and_analyze": {
    "description": "Scrape a webpage and analyze its content",
    "steps": [
      {
        "server_name": "crawl4ai",
        "tool_name": "md",
        "outputs": {
          "content": "$.markdown"
        }
      },
      {
        "server_name": "analysis_server",
        "tool_name": "analyze_text",
        "inputs": {
          "text": "$.content"
        }
      }
    ]
  }
}

Configuration

Server Configuration

{
  "mcpServers": {
    "server_name": {
      "command": "path/to/executable",
      "args": ["arg1", "arg2"],
      "type": "stdio",
      "env": {
        "ENV_VAR": "value"
      },
      "disabled": false
    }
  }
}

Workflows Configuration

By default, workflows are stored in workflows.json in the current working directory. You can specify a custom path using the --workflows option:

# Use custom workflows file
node dist/main.js --workflows /path/to/my-workflows.json

# Relative path
node dist/main.js --workflows ./config/workflows.json

The workflows file structure remains the same regardless of location:

{
  "workflow_name": {
    "description": "Description of what the workflow does",
    "steps": [
      {
        "server_name": "server_name",
        "tool_name": "tool_name",
        "inputs": { "param": "value" },
        "outputs": { "result": "$.path" }
      }
    ]
  }
}

Transport Types

  • stdio: Standard input/output communication
  • sse: Server-Sent Events over HTTP
  • streamhttp: HTTP streaming

Configuration Options

  • command: Executable path (for stdio)
  • args: Command line arguments
  • type: Transport type (stdio, sse, streamhttp)
  • url: Server URL (for sse/streamhttp)
  • env: Environment variables
  • disabled: Skip server initialization

Command Line Options

node dist/main.js [options]

Options:
  -c, --config     Path to configuration file (default: config.json)
  -j, --jsonpath   JSONPath expression to select config section
  -w, --workflows  Path to workflows JSON file (default: workflows.json)
  -t, --transport  Transport type: stdio, sse (default: stdio)
  -p, --port       Port for SSE transport (default: 3001)
  -h, --help       Show help

Development

Project Structure

src/
├── main.ts              # CLI entry point
├── server.ts            # MCP server implementation
├── types.ts             # TypeScript type definitions
├── configLoader.ts      # Configuration loading and watching
├── mcpClient.ts         # MCP client management
├── workflowExecutor.ts  # Workflow execution engine
├── workflowLoader.ts    # Workflow template loading
└── workflowManager.ts   # Workflow CRUD operations

Development Scripts

npm run dev      # Run in development mode with hot reload
npm run watch    # Watch mode with automatic restart
npm run build    # Build TypeScript to JavaScript
npm start        # Start production server

Adding New Features

  1. Extend Types: Add new interfaces in src/types.ts
  2. Update Server: Register new tools in src/server.ts
  3. Implement Logic: Add business logic in appropriate modules
  4. Test: Create test workflows in workflows.json

Troubleshooting

Common Issues

  1. Server not found: Check config.json server configuration
  2. Tool call failed: Verify tool name and arguments
  3. JSONPath errors: Validate JSONPath expressions
  4. Permission denied: Check file permissions and environment variables

Debug Mode

Enable detailed logging: ``bash DEBUG=* npm start ``

Configuration Validation

The server validates:

  • Workflow structure and required fields
  • Server availability and tool existence
  • JSONPath expression syntax
  • Conditional logic expressions

License

MIT License - see LICENSE file for details.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

Support

For issues and questions:

  • Check the troubleshooting section
  • Review example configurations
  • Open an issue on GitHub

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