Simplified MCP Server

A Model Context Protocol (MCP) server that provides seamless integration between Claude, Cursor, Kiro ( and other MCP supported platforms) and Simplified's API. This server enables LLMs to interact with Simplified's services through standardized MCP tools, allowing for social media account management and post creation across multiple platforms.

Features

Full MCP Protocol Support: Built using the official @modelcontextprotocol/sdk
Social Media Management: Comprehensive social media account and post management
Multi-Platform Support: Support for Facebook, Instagram, Twitter, LinkedIn, TikTok, YouTube, Pinterest, Threads, Google Business Profile, and Bluesky
Type-Safe Implementation: Written in TypeScript with full type safety
Robust Error Handling: Comprehensive error handling with detailed error messages
Configurable Logging: Adjustable logging levels for debugging and monitoring
Platform-Specific Features: Advanced platform-specific settings for Google Business Profile, TikTok, YouTube, Instagram, and more
Scheduling Support: Create scheduled posts with platform-specific settings
Authentication Management: Secure API token handling with automatic retry logic

Installation

Prerequisites

Node.js 18.0.0 or higher
npm 8.0.0 or higher
A Simplified API token

Install from NPM

npm install -g simplified-mcp-server

Install from Source

git clone https://github.com/celeryhq/simplified-mcp-server.git
cd simplified-mcp-server
npm install
npm run build

pack DXT file

npm install -g @anthropic-ai/dxt
npx @anthropic-ai/dxt pack        

Configuration

The server is configured using environment variables. Create a .env file in your project root or set these variables in your environment:

Required Configuration

Variable	Description	Example
`SIMPLIFIED_API_TOKEN`	Your Simplified API token	`sk_live_abc123...`

Optional Configuration

Variable	Description	Default	Options
`SIMPLIFIED_API_BASE_URL`	Simplified API base URL	`https://api.simplified.com`	Any valid URL
`LOG_LEVEL`	Logging verbosity level	`info`	`debug`, `info`, `warn`, `error`
`REQUEST_TIMEOUT`	API request timeout (ms)	`30000`	Any positive number
`RETRY_ATTEMPTS`	Number of retry attempts	`3`	Any non-negative number
`RETRY_DELAY`	Delay between retries (ms)	`1000`	Any positive number

Workflow Tool Configuration

The server supports dynamic workflow tools that automatically discover and register tools based on available workflows. This feature is disabled by default and can be enabled through environment variables.

Variable	Description	Default	Range/Options
`WORKFLOWS_ENABLED`	Enable dynamic workflow tools	`false`	`true`, `false`
`WORKFLOW_DISCOVERY_INTERVAL`	Auto-refresh interval (ms)	`0` (disabled)	`0-86400000` (0 = disabled)
`WORKFLOW_EXECUTION_TIMEOUT`	Execution timeout (ms)	`300000` (5 min)	`1000-3600000`
`WORKFLOW_MAX_CONCURRENT_EXECUTIONS`	Max concurrent executions	`10`	`1-100`
`WORKFLOW_FILTER_PATTERNS`	Comma-separated name patterns	`` (none)	Wildcard patterns
`WORKFLOW_STATUS_CHECK_INTERVAL`	Status polling interval (ms)	`5000`	`1000-300000`
`WORKFLOW_RETRY_ATTEMPTS`	Retry attempts for failures	`3`	`0-10`

Example Configuration

# Required
SIMPLIFIED_API_TOKEN=sk_live_your_token_here

# Optional - Basic Configuration
SIMPLIFIED_API_BASE_URL=https://api.simplified.com
LOG_LEVEL=info
REQUEST_TIMEOUT=30000
RETRY_ATTEMPTS=3
RETRY_DELAY=1000

# Optional - Workflow Configuration
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=300000
WORKFLOW_EXECUTION_TIMEOUT=600000
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=10
WORKFLOW_FILTER_PATTERNS=data-*,report-*
WORKFLOW_STATUS_CHECK_INTERVAL=5000
WORKFLOW_RETRY_ATTEMPTS=3

Environment-Specific Configuration Examples

Development Environment

# Development settings for faster feedback
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=60000          # 1 minute refresh
WORKFLOW_EXECUTION_TIMEOUT=120000          # 2 minute timeout
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=5       # Lower concurrency
WORKFLOW_STATUS_CHECK_INTERVAL=2000        # 2 second polling
WORKFLOW_RETRY_ATTEMPTS=1                  # Fewer retries
LOG_LEVEL=debug

Production Environment

# Production settings for stability and performance
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=600000         # 10 minute refresh
WORKFLOW_EXECUTION_TIMEOUT=600000          # 10 minute timeout
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=20      # Higher concurrency
WORKFLOW_STATUS_CHECK_INTERVAL=10000       # 10 second polling
WORKFLOW_RETRY_ATTEMPTS=5                  # More retries
LOG_LEVEL=warn

Usage

Programmatic Usage

import { SimplifiedMCPServer } from 'simplified-mcp-server';
import { ConfigurationManager } from 'simplified-mcp-server/config';

async function startServer() {
  const config = ConfigurationManager.loadConfig();
  const server = new SimplifiedMCPServer(config);
  await server.start();
}

startServer().catch(console.error);

Integration with Claude

Add the server to your Claude MCP configuration:

{
   "mcpServers": {
      "simplified": {
        "command": "node",
        "args": [
          "{PATH_TO_CLONED_REPOSITORY}/dist/cli.js",
          "start"
        ],
        "env": {
          "SIMPLIFIED_API_TOKEN": "your_token_here",
          "SIMPLIFIED_API_BASE_URL": "https://api.simplified.com",
          "LOG_LEVEL": "info",
          "WORKFLOWS_ENABLED": "true",
          "WORKFLOW_EXECUTION_TIMEOUT": "600000"
        }
      }
    }
}

Install DXT extension:

Extensions -> Advanced settings -> Install Extension...

Choose simplified-mcp.dxt file. Add your token.

Integration with Kiro

Add the server to your Kiro MCP configuration:

{
  "mcpServers": {
    "simplified": {
      "command": "simplified-mcp-server",
      "env": {
        "SIMPLIFIED_API_TOKEN": "your_token_here",
        "WORKFLOWS_ENABLED": "true",
        "WORKFLOW_DISCOVERY_INTERVAL": "300000",
        "WORKFLOW_EXECUTION_TIMEOUT": "600000"
      }
    }
  }
}

Available Tools

The server provides comprehensive social media management tools with platform-specific features, plus dynamic workflow tools for extended functionality:

Tools for managing social media accounts and posts.

`get_social_media_accounts`

Retrieve all connected social media accounts.

Parameters:

network (optional): Filter by platform (facebook, instagram, linkedin, tiktok, youtube, pinterest, threads, google, bluesky, tiktokBusiness)

Example:

{
  "name": "get_social_media_accounts",
  "arguments": {
    "network": "instagram"
  }
}

`create_social_media_post`

Create a new social media post with platform-specific settings for Google, TikTok, Threads, YouTube, Facebook, LinkedIn, Instagram, and Pinterest.

Parameters:

message (required): Post message/content (1-5000 characters)
accountId (required): Social media account ID
action (required): Action to perform (schedule, add_to_queue, draft)
date (optional): Scheduled date for the post (format: YYYY-MM-DD HH)
media (optional): Array of media file URLs to attach (max 10 items)
additional (optional): Platform-specific post settings and metadata

Basic Example:

{
  "name": "create_social_media_post",
  "arguments": {
    "message": "Excited to announce our new product launch! 🚀",
    "accountId": "acc_fb123",
    "action": "schedule",
    "date": "2024-01-22 12:00",
    "media": [
      "https://example.com/product-image.jpg",
      "https://example.com/launch-video.mp4"
    ],
    "additional": {}
  }
}

Media Files

The media parameter accepts an array of URL strings pointing to your media files:

{
  "media": [
    "https://example.com/image1.jpg",
    "https://example.com/video.mp4",
    "https://example.com/image2.png"
  ]
}

Media Requirements:

Maximum 10 media files per post
URLs must be publicly accessible
Supported formats vary by platform (images: JPG, PNG, GIF; videos: MP4, MOV, etc.)

Platform-Specific Features

The additional parameter supports platform-specific configurations:

Google Business Profile

{
  "additional": {
    "google": {
      "post": {
        "title": "New Product Launch",
        "topicType": "OFFER",
        "couponCode": "LAUNCH20",
        "callToActionUrl": "https://example.com/product",
        "callToActionType": "SHOP",
        "termsConditions": "Valid until end of month"
      }
    }
  }
}

TikTok / TikTok Business

{
  "additional": {
    "tiktok": {
      "post": {
        "brandContent": true,
        "privacyStatus": "PUBLIC_TO_EVERYONE",
        "duetDisabled": false,
        "commentDisabled": false
      },
      "channel": { "value": "direct" },
      "postType": { "value": "video" }
    }
  }
}

YouTube

{
  "additional": {
    "youtube": {
      "post": {
        "title": "Product Launch Video",
        "license": "standard",
        "privacyStatus": "public",
        "selfDeclaredMadeForKids": "no"
      },
      "postType": { "value": "short" }
    }
  }
}

Instagram

{
  "additional": {
    "instagram": {
      "postReel": {
        "audioName": "Trending Audio Track",
        "shareToFeed": true
      },
      "postType": { "value": "reel" }
    }
  }
}

{
  "additional": {
    "pinterest": {
      "post": {
        "link": "https://example.com/product",
        "title": "Amazing Product",
        "imageAlt": "Product showcase image"
      }
    }
  }
}

{
  "additional": {
    "linkedin": {
      "audience": { "value": "PUBLIC" }
    }
  }
}

Facebook

{
  "additional": {
    "facebook": {
      "postType": { "value": "feed" }
    }
  }
}

Threads

{
  "additional": {
    "threads": {
      "channel": { "value": "direct" }
    }
  }
}

Dynamic Workflow Tools

The server supports dynamic workflow tools that automatically discover and register tools based on workflows provided by a workflows-list-tool. This feature enables the server to expose workflow-based functionality as standard MCP tools without requiring code changes.

Enabling Workflow Tools

To enable dynamic workflow tools, set the following environment variable:

WORKFLOWS_ENABLED=true

When enabled, the server will:

Query the workflows-list-tool to discover available workflows
Automatically register MCP tools for each discovered workflow
Handle workflow execution through standard MCP tool calls
Provide status checking capabilities for running workflows

Workflow Tool Discovery

The server discovers workflows by calling a workflows-list-tool that should return an array of workflow definitions. Each workflow must conform to this schema:

{
  "id": "workflow-123",
  "name": "Data Analysis Workflow",
  "description": "Analyzes data and generates reports",
  "category": "analytics",
  "version": "1.0.0",
  "inputSchema": {
    "type": "object",
    "properties": {
      "dataset": {
        "type": "string",
        "description": "Path to the dataset file"
      },
      "format": {
        "type": "string",
        "enum": ["csv", "json", "xlsx"],
        "description": "Data format"
      }
    },
    "required": ["dataset"]
  },
  "executionType": "async",
  "metadata": {
    "estimatedDuration": "5-10 minutes",
    "resourceRequirements": "medium"
  }
}

Using Workflow Tools

Once discovered, workflow tools appear in the standard MCP tools list and can be called like any other tool:

{
  "name": "workflow-data-analysis-workflow",
  "arguments": {
    "dataset": "/path/to/data.csv",
    "format": "csv"
  }
}

Workflow Execution Flow

Tool Call: MCP client calls a workflow tool with parameters
Execution Start: Server makes POST call to workflow execution endpoint
Status Polling: Server polls workflow status with minimum 1000ms intervals
Result Return: Server returns workflow results in standard MCP format

Example execution response:

{
  "success": true,
  "data": {
    "workflowId": "workflow-123",
    "executionId": "exec-456",
    "status": "COMPLETED",
    "results": {
      "summary": "Analysis completed successfully",
      "reportUrl": "https://example.com/report.pdf",
      "metrics": {
        "recordsProcessed": 10000,
        "executionTime": "4m 32s"
      }
    }
  }
}

Workflow Status Checking

The server provides a built-in workflow-status-check tool for monitoring workflow executions:

{
  "name": "workflow-status-check",
  "arguments": {
    "workflowId": "workflow-123",
    "executionId": "exec-456"
  }
}

Status response includes:

Current execution status (RUNNING, COMPLETED, FAILED, CANCELLED)
Start and end times
Progress information (if available)
Input parameters and output results
Error details (if failed)

Workflow Configuration Options

Discovery and Refresh

# Enable automatic workflow discovery
WORKFLOWS_ENABLED=true

# Refresh workflows every 5 minutes (300000ms)
WORKFLOW_DISCOVERY_INTERVAL=300000

Execution Management

# Set workflow execution timeout to 10 minutes
WORKFLOW_EXECUTION_TIMEOUT=600000

# Allow up to 15 concurrent workflow executions
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=15

# Check workflow status every 3 seconds
WORKFLOW_STATUS_CHECK_INTERVAL=3000

Workflow Filtering

# Only expose workflows matching these patterns
WORKFLOW_FILTER_PATTERNS=data-*,report-*,analysis-*

# This would expose workflows like:
# - data-processing-workflow
# - report-generation-workflow  
# - analysis-customer-workflow
# But not:
# - admin-cleanup-workflow
# - test-workflow

Error Handling

# Retry failed workflow operations up to 5 times
WORKFLOW_RETRY_ATTEMPTS=5

Workflow Tool Examples

Data Processing Workflow

{
  "name": "workflow-data-processor",
  "arguments": {
    "inputFile": "sales-data-2024.csv",
    "operations": ["clean", "aggregate", "analyze"],
    "outputFormat": "json"
  }
}

Report Generation Workflow

{
  "name": "workflow-monthly-report",
  "arguments": {
    "month": "2024-01",
    "includeCharts": true,
    "recipients": ["manager@company.com"],
    "format": "pdf"
  }
}

Machine Learning Workflow

{
  "name": "workflow-ml-training",
  "arguments": {
    "dataset": "customer-behavior.csv",
    "algorithm": "random-forest",
    "testSplit": 0.2,
    "hyperparameters": {
      "n_estimators": 100,
      "max_depth": 10
    }
  }
}

Platform-Specific Options Reference

Platform	Available Options	Description
Google Business Profile	`title`, `topicType`, `couponCode`, `callToActionUrl`, `callToActionType`, `termsConditions`	Business post enhancements with CTAs and offers
TikTok/TikTok Business	`brandContent`, `privacyStatus`, `duetDisabled`, `stitchDisabled`, `commentDisabled`	Content settings and engagement controls
YouTube	`title`, `license`, `privacyStatus`, `selfDeclaredMadeForKids`	Video metadata and compliance settings
Instagram	`audioName`, `shareToFeed`, `postType`	Reel-specific settings and feed sharing
Pinterest	`link`, `title`, `imageAlt`	Pin destination and accessibility
LinkedIn	`audience`	Professional audience targeting
Facebook	`postType`	Content type specification
Threads	`channel`	Publishing method

Workflow Tools

Dynamic tools automatically generated from discovered workflows. These tools are only available when WORKFLOWS_ENABLED=true.

`workflow-status-check`

Check the status of a running workflow execution.

Parameters:

workflowId (required): The original workflow ID
executionId (required): The workflow execution ID (UUID)

Example:

{
  "name": "workflow-status-check",
  "arguments": {
    "workflowId": "data-processor-v2",
    "executionId": "8f496b6a-c905-41bb-b7b7-200a8982ab30"
  }
}

Response:

{
  "success": true,
  "data": {
    "status": "RUNNING",
    "progress": 65,
    "startTime": 1753703781802,
    "estimatedCompletion": "2024-01-22T12:45:00Z",
    "input": {
      "dataset": "sales-data.csv",
      "format": "csv"
    },
    "output": null
  }
}

Dynamic Workflow Tools

Each discovered workflow becomes an individual MCP tool with the naming pattern workflow-{workflow-name}. The tool parameters are dynamically generated based on the workflow's input schema.

Example Workflow Tools:

workflow-data-analysis - Analyze datasets and generate insights
workflow-report-generator - Create automated reports
workflow-image-processor - Process and transform images
workflow-email-campaign - Send targeted email campaigns
workflow-backup-system - Perform system backups

Dynamic Tool Example:

{
  "name": "workflow-customer-segmentation",
  "arguments": {
    "customerData": "customers-2024.csv",
    "segmentationCriteria": ["age", "purchase_history", "location"],
    "outputFormat": "json",
    "includeVisualization": true
  }
}

Dynamic Tool Response:

{
  "success": true,
  "data": {
    "executionId": "exec-789",
    "status": "COMPLETED",
    "results": {
      "segments": [
        {
          "name": "High Value Customers",
          "count": 1250,
          "criteria": "age: 25-45, purchases: >$500/month"
        },
        {
          "name": "Occasional Buyers",
          "count": 3400,
          "criteria": "age: 18-65, purchases: $50-$500/month"
        }
      ],
      "visualizationUrl": "https://example.com/segments-chart.png",
      "executionTime": "3m 45s"
    }
  }
}

Error Handling

The server provides comprehensive error handling with detailed error messages:

Error Types

Configuration Errors: Missing or invalid configuration
Authentication Errors: Invalid or expired API tokens
API Errors: Errors from Simplified's API
Tool Execution Errors: Errors during tool execution
Validation Errors: Invalid tool parameters
Workflow Discovery Errors: Issues discovering or validating workflows
Workflow Execution Errors: Failures during workflow execution
Workflow Timeout Errors: Workflow execution exceeding timeout limits

Error Response Format

{
  "success": false,
  "error": "Error message",
  "details": {
    "type": "AUTHENTICATION_ERROR",
    "code": 401,
    "timestamp": "2024-01-01T00:00:00.000Z"
  }
}

Workflow-Specific Error Examples

Workflow Discovery Error

{
  "success": false,
  "error": "Failed to discover workflows",
  "details": {
    "type": "WORKFLOW_DISCOVERY_ERROR",
    "message": "workflows-list-tool is not available",
    "timestamp": "2024-01-01T00:00:00.000Z",
    "retryAfter": 300
  }
}

Workflow Execution Error

{
  "success": false,
  "error": "Workflow execution failed",
  "details": {
    "type": "WORKFLOW_EXECUTION_ERROR",
    "workflowId": "data-processor",
    "executionId": "exec-123",
    "status": "FAILED",
    "message": "Invalid input format: expected CSV, got JSON",
    "timestamp": "2024-01-01T00:00:00.000Z"
  }
}

Workflow Timeout Error

{
  "success": false,
  "error": "Workflow execution timed out",
  "details": {
    "type": "WORKFLOW_TIMEOUT_ERROR",
    "workflowId": "long-running-analysis",
    "executionId": "exec-456",
    "timeout": 300000,
    "elapsed": 300001,
    "timestamp": "2024-01-01T00:00:00.000Z"
  }
}

Development

Building from Source

git clone https://github.com/celeryhq/simplified-mcp-server.git
cd simplified-mcp-server
npm install
npm run build

Running Tests

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run tests in watch mode
npm run test:watch

Development Mode

# Start in development mode with auto-reload
npm run dev

# Start in development mode with watch
npm run dev:watch

Project Structure

simplified-mcp-server/
├── src/
│   ├── index.ts              # Main entry point
│   ├── server.ts             # MCP server implementation
│   ├── cli.ts                # Command line interface
│   ├── config/
│   │   └── configuration.ts  # Configuration management
│   ├── tools/
│   │   ├── registry.ts       # Tool registry
│   │   ├── definitions.ts    # Tool definition utilities
│   │   └── implementations/  # Tool implementations
│   │       ├── social-media-tools.ts  # Social media management tools
│   │       └── index.ts               # Tool exports
│   ├── api/
│   │   └── client.ts         # Simplified API client
│   ├── utils/
│   │   ├── errors.ts         # Error handling utilities
│   │   └── logger.ts         # Logging utilities
│   └── types/
│       └── index.ts          # TypeScript type definitions
├── tests/                    # Test files
├── dist/                     # Compiled JavaScript
└── docs/                     # Documentation

Workflow Configuration Guide

Understanding Workflow Tools

Workflow tools extend the server's capabilities by automatically discovering and registering tools based on external workflow definitions. This allows you to expose complex business processes, data pipelines, and automation workflows as simple MCP tools.

Configuration Parameters Explained

`WORKFLOWS_ENABLED`

Purpose: Master switch for workflow functionality
Default: false
Recommendation: Set to true only when you have a workflows-list-tool available

# Enable workflow tools
WORKFLOWS_ENABLED=true

`WORKFLOW_DISCOVERY_INTERVAL`

Purpose: How often to refresh the list of available workflows
Default: 0 (disabled)
Range: 0-86400000 ms (0 = disabled, max = 24 hours)
Recommendation:

Development: 60000 (1 minute) for rapid iteration
Production: 600000 (10 minutes) for stability
Set to 0 if workflows rarely change

# Refresh every 5 minutes
WORKFLOW_DISCOVERY_INTERVAL=300000

# Disable automatic refresh
WORKFLOW_DISCOVERY_INTERVAL=0

`WORKFLOW_EXECUTION_TIMEOUT`

Purpose: Maximum time to wait for workflow completion
Default: 300000 ms (5 minutes)
Range: 1000-3600000 ms (1 second to 1 hour)
Recommendation: Set based on your longest-running workflow

# For quick workflows (e.g., data validation)
WORKFLOW_EXECUTION_TIMEOUT=30000

# For long workflows (e.g., ML training)
WORKFLOW_EXECUTION_TIMEOUT=1800000

`WORKFLOW_MAX_CONCURRENT_EXECUTIONS`

Purpose: Limit simultaneous workflow executions to prevent resource exhaustion
Default: 10
Range: 1-100
Recommendation:

Development: 3-5 for resource-constrained environments
Production: 10-20 based on server capacity

# Conservative limit for development
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=3

# Higher limit for production
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=20

`WORKFLOW_FILTER_PATTERNS`

Purpose: Control which workflows are exposed as tools
Default: `` (empty - all workflows exposed)
Format: Comma-separated wildcard patterns
Examples:

# Only expose data-related workflows
WORKFLOW_FILTER_PATTERNS=data-*

# Multiple patterns
WORKFLOW_FILTER_PATTERNS=data-*,report-*,analysis-*

# Exclude test workflows
WORKFLOW_FILTER_PATTERNS=*,-test-*,-dev-*

# Expose all workflows (default)
WORKFLOW_FILTER_PATTERNS=

`WORKFLOW_STATUS_CHECK_INTERVAL`

Purpose: How often to poll workflow status during execution
Default: 5000 ms (5 seconds)
Range: 1000-300000 ms (1 second to 5 minutes)
Recommendation: Balance between responsiveness and API load

# Frequent polling for interactive workflows
WORKFLOW_STATUS_CHECK_INTERVAL=2000

# Less frequent polling to reduce API load
WORKFLOW_STATUS_CHECK_INTERVAL=10000

`WORKFLOW_RETRY_ATTEMPTS`

Purpose: Number of retry attempts for failed workflow operations
Default: 3
Range: 0-10
Recommendation:

Development: 1 for faster failure feedback
Production: 3-5 for reliability

# No retries for testing
WORKFLOW_RETRY_ATTEMPTS=0

# More retries for production reliability
WORKFLOW_RETRY_ATTEMPTS=5

Configuration Best Practices

Development Environment

# Fast feedback, lower resource usage
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=60000
WORKFLOW_EXECUTION_TIMEOUT=120000
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=3
WORKFLOW_STATUS_CHECK_INTERVAL=2000
WORKFLOW_RETRY_ATTEMPTS=1
WORKFLOW_FILTER_PATTERNS=dev-*,test-*
LOG_LEVEL=debug

Production Environment

# Stability and performance focused
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=600000
WORKFLOW_EXECUTION_TIMEOUT=600000
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=15
WORKFLOW_STATUS_CHECK_INTERVAL=5000
WORKFLOW_RETRY_ATTEMPTS=3
WORKFLOW_FILTER_PATTERNS=prod-*
LOG_LEVEL=warn

Testing Environment

# Predictable behavior for tests
WORKFLOWS_ENABLED=false
WORKFLOW_DISCOVERY_INTERVAL=0
WORKFLOW_EXECUTION_TIMEOUT=30000
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=1
WORKFLOW_STATUS_CHECK_INTERVAL=1000
WORKFLOW_RETRY_ATTEMPTS=0
LOG_LEVEL=error

Configuration Validation

The server validates all workflow configuration on startup and provides detailed error messages for invalid values:

# Example validation error
Configuration validation failed:
Invalid configuration values: workflowExecutionTimeout: Workflow execution timeout must be at least 1000ms (1 second)

Workflow configuration guidelines:
- Set WORKFLOW_DISCOVERY_INTERVAL to 0 to disable automatic refresh
- Use WORKFLOW_FILTER_PATTERNS to limit which workflows are exposed (e.g., "data-*,report-*")
- Minimum WORKFLOW_STATUS_CHECK_INTERVAL is 1000ms to avoid excessive API calls
- WORKFLOW_EXECUTION_TIMEOUT should be set based on your longest-running workflows

Performance Considerations

API Rate Limiting

Set WORKFLOW_DISCOVERY_INTERVAL to at least 60 seconds to avoid rate limits
Use WORKFLOW_STATUS_CHECK_INTERVAL of at least 2 seconds for status polling
Consider the total API load: discovery + (concurrent executions × status checks)

Resource Management

Monitor memory usage with high WORKFLOW_MAX_CONCURRENT_EXECUTIONS
Long-running workflows may require increased WORKFLOW_EXECUTION_TIMEOUT
Use workflow filtering to reduce the number of registered tools

Monitoring Recommendations

# Enable detailed logging for monitoring
LOG_LEVEL=info

# Set reasonable limits
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=10
WORKFLOW_EXECUTION_TIMEOUT=300000

# Monitor workflow performance
WORKFLOW_STATUS_CHECK_INTERVAL=5000

Troubleshooting

Common Issues

Server Won't Start

Problem: Server fails to start with configuration error.

Solution:

Verify your .env file contains SIMPLIFIED_API_TOKEN
Check that your API token is valid
Ensure Node.js version is 18.0.0 or higher

# Check Node.js version
node --version

# Verify environment variables
echo $SIMPLIFIED_API_TOKEN

Authentication Errors

Problem: API calls fail with authentication errors.

Solution:

Verify your API token is correct and not expired
Check that the token has the necessary permissions
Ensure the API base URL is correct

Tool Execution Failures

Problem: Tools return errors or unexpected results.

Solution:

Check the tool parameters match the expected schema
Verify the API endpoint exists and is accessible
Check server logs for detailed error information

# Enable debug logging
LOG_LEVEL=debug simplified-mcp-server

Connection Issues

Problem: Cannot connect to Simplified API.

Solution:

Check your internet connection
Verify the API base URL is accessible
Check if there are any firewall restrictions
Use the health check tool to diagnose connectivity

Workflow Tool Issues

Problem: Workflow tools are not appearing in the tools list.

Solution:

Verify WORKFLOWS_ENABLED=true is set in your environment
Check that the workflows-list-tool is available and responding
Verify workflow definitions match the expected schema
Check server logs for workflow discovery errors

# Enable debug logging to see workflow discovery details
LOG_LEVEL=debug simplified-mcp-server

Problem: Workflow execution times out or fails.

Solution:

Increase WORKFLOW_EXECUTION_TIMEOUT for longer-running workflows
Check workflow status using the workflow-status-check tool
Verify workflow parameters match the expected schema
Check if the workflow execution system is available

# Increase timeout to 10 minutes for long workflows
WORKFLOW_EXECUTION_TIMEOUT=600000

Problem: Too many concurrent workflow executions causing errors.

Solution:

Reduce WORKFLOW_MAX_CONCURRENT_EXECUTIONS to limit resource usage
Implement workflow queuing in your application
Monitor system resources during peak usage

# Limit to 5 concurrent executions
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=5

Problem: Workflow discovery is too frequent and causing API rate limits.

Solution:

Increase WORKFLOW_DISCOVERY_INTERVAL to reduce API calls
Set to 0 to disable automatic discovery and use manual refresh
Implement workflow caching in your application

# Refresh workflows every 30 minutes instead of every 5 minutes
WORKFLOW_DISCOVERY_INTERVAL=1800000

# Or disable automatic discovery
WORKFLOW_DISCOVERY_INTERVAL=0

Problem: Only some workflows are being discovered.

Solution:

Check WORKFLOW_FILTER_PATTERNS configuration
Verify workflow names match your filter patterns
Remove filters to see all available workflows

# Remove all filters to see all workflows
WORKFLOW_FILTER_PATTERNS=

# Or adjust patterns to include more workflows
WORKFLOW_FILTER_PATTERNS=*

Debug Mode

Enable debug logging for detailed troubleshooting:

LOG_LEVEL=debug simplified-mcp-server

Health Check

Use the built-in health check tool to verify server status:

{
  "name": "simplified-health-check",
  "arguments": {
    "includeDetails": true
  }
}

Workflow Troubleshooting Guide

Workflow Discovery Issues

Symptom: No workflow tools appear in tools list despite WORKFLOWS_ENABLED=true

Diagnostic Steps:

Enable debug logging: LOG_LEVEL=debug
Check server startup logs for workflow discovery messages
Verify workflows-list-tool is available and responding

Common Causes & Solutions:

# Cause: workflows-list-tool not found
# Solution: Ensure the tool is properly registered and available
LOG_LEVEL=debug simplified-mcp-server
# Look for: "Workflow discovery failed: workflows-list-tool not found"

# Cause: Invalid workflow definitions
# Solution: Check workflow schema compliance
# Look for: "Skipping invalid workflow: missing required field 'name'"

# Cause: All workflows filtered out
# Solution: Check filter patterns
WORKFLOW_FILTER_PATTERNS=  # Remove filters temporarily

Symptom: Workflows discovered but tools not registered

Diagnostic Steps:

Check for tool name conflicts in logs
Verify workflow names are valid MCP tool names
Look for schema validation errors

Solutions:

# Enable detailed tool registration logging
LOG_LEVEL=debug

# Check for naming conflicts
# Look for: "Tool name conflict: workflow-data-processor already exists"

# Verify workflow names contain only valid characters
# Valid: data-processor, report_generator, analysis123
# Invalid: data processor, report-generator!, análisis

Workflow Execution Issues

Symptom: Workflow execution times out

Diagnostic Steps:

Check workflow execution logs
Verify workflow is actually running
Monitor workflow status manually

Solutions:

# Increase timeout for long-running workflows
WORKFLOW_EXECUTION_TIMEOUT=1800000  # 30 minutes

# Check workflow status manually
{
  "name": "workflow-status-check",
  "arguments": {
    "workflowId": "your-workflow-id",
    "executionId": "execution-uuid"
  }
}

# Reduce status check interval for better monitoring
WORKFLOW_STATUS_CHECK_INTERVAL=2000

Symptom: Workflow execution fails immediately

Diagnostic Steps:

Validate input parameters against workflow schema
Check workflow system availability
Verify API credentials and permissions

Solutions:

# Enable parameter validation logging
LOG_LEVEL=debug

# Check parameter schema compliance
# Look for: "Parameter validation failed: 'dataset' is required"

# Test workflow system connectivity
# Use workflow-status-check with a known execution ID

Performance Issues

Symptom: Server becomes slow or unresponsive

Diagnostic Steps:

Check concurrent execution count
Monitor memory and CPU usage
Review workflow discovery frequency

Solutions:

# Reduce concurrent executions
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=5

# Increase discovery interval to reduce API load
WORKFLOW_DISCOVERY_INTERVAL=1800000  # 30 minutes

# Disable automatic discovery if not needed
WORKFLOW_DISCOVERY_INTERVAL=0

# Use workflow filtering to reduce tool count
WORKFLOW_FILTER_PATTERNS=essential-*,critical-*

Symptom: Excessive API calls causing rate limiting

Solutions:

# Increase status check interval
WORKFLOW_STATUS_CHECK_INTERVAL=10000  # 10 seconds

# Reduce discovery frequency
WORKFLOW_DISCOVERY_INTERVAL=3600000   # 1 hour

# Limit concurrent executions
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=3

Configuration Issues

Symptom: Server fails to start with workflow configuration errors

Common Errors & Solutions:

# Error: "Workflow execution timeout must be at least 1000ms"
WORKFLOW_EXECUTION_TIMEOUT=30000  # Set to at least 1 second

# Error: "Status check interval must be at least 1000ms"
WORKFLOW_STATUS_CHECK_INTERVAL=2000  # Set to at least 1 second

# Error: "Maximum concurrent executions must be positive"
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=5  # Set to positive number

# Error: "Discovery interval cannot exceed 24 hours"
WORKFLOW_DISCOVERY_INTERVAL=3600000   # Set to max 1 hour

Integration Issues

Symptom: Workflows work in testing but fail in production

Diagnostic Checklist:

Environment variable differences
Network connectivity and firewall rules
API endpoint availability
Resource limits and timeouts

Production Configuration Review:

# Ensure production-appropriate timeouts
WORKFLOW_EXECUTION_TIMEOUT=600000     # 10 minutes
WORKFLOW_STATUS_CHECK_INTERVAL=5000   # 5 seconds
WORKFLOW_DISCOVERY_INTERVAL=600000    # 10 minutes

# Set appropriate concurrency limits
WORKFLOW_MAX_CONCURRENT_EXECUTIONS=15

# Use production workflow filters
WORKFLOW_FILTER_PATTERNS=prod-*,live-*

# Enable appropriate logging
LOG_LEVEL=warn  # Reduce log noise in production

Debug Commands

Enable Maximum Debugging:

LOG_LEVEL=debug
WORKFLOWS_ENABLED=true
WORKFLOW_DISCOVERY_INTERVAL=60000
WORKFLOW_STATUS_CHECK_INTERVAL=2000
WORKFLOW_RETRY_ATTEMPTS=1

Test Workflow Discovery:

# Start server and look for these log messages:
# "Starting workflow discovery..."
# "Discovered X workflows"
# "Registered workflow tool: workflow-name"
# "Workflow discovery completed"

Test Workflow Execution:

# Use a simple workflow first
{
  "name": "workflow-simple-test",
  "arguments": {
    "input": "test-value"
  }
}

# Monitor logs for:
# "Starting workflow execution: workflow-id"
# "Workflow status: RUNNING"
# "Workflow completed: execution-id"

Getting Help

Check the logs: Enable debug logging to see detailed error information
Verify configuration: Ensure all required environment variables are set
Test connectivity: Use the health check and API status tools
Check API documentation: Verify endpoint paths and parameters
Test workflow tools: Start with simple workflows before complex ones
Monitor resources: Check memory and CPU usage during workflow execution
Report issues: Create an issue on the GitHub repository with logs and configuration details

API Reference

Server Configuration

The server accepts the following configuration options:

interface ServerConfig {
  // Basic Configuration
  apiToken: string;           // Required: Simplified API token
  apiBaseUrl: string;         // Optional: API base URL
  logLevel: 'debug' | 'info' | 'warn' | 'error'; // Optional: Log level
  timeout: number;            // Optional: Request timeout in ms
  retryAttempts: number;      // Optional: Number of retry attempts
  retryDelay: number;         // Optional: Delay between retries in ms
  
  // Workflow Configuration
  workflowsEnabled: boolean;                    // Optional: Enable workflow tools
  workflowDiscoveryInterval: number;            // Optional: Auto-refresh interval (ms)
  workflowExecutionTimeout: number;             // Optional: Execution timeout (ms)
  workflowMaxConcurrentExecutions: number;      // Optional: Max concurrent executions
  workflowFilterPatterns: string[];             // Optional: Workflow name patterns
  workflowStatusCheckInterval: number;          // Optional: Status polling interval (ms)
  workflowRetryAttempts: number;                // Optional: Retry attempts for failures
}

Tool Response Format

All tools return responses in the following format:

interface ToolResponse {
  content: Array<{
    type: 'text';
    text: string; // JSON string containing the actual response data
  }>;
}

Success Response

{
  "success": true,
  "data": { /* response data */ },
  "message": "Operation completed successfully"
}

Error Response

{
  "success": false,
  "error": "Error description",
  "details": { /* additional error information */ }
}

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

Fork the repository
Clone your fork: git clone https://github.com/your-username/simplified-mcp-server.git
Install dependencies: npm install
Create a feature branch: git checkout -b feature/your-feature
Make your changes and add tests
Run tests: npm test
Build the project: npm run build
Commit your changes: git commit -m "Add your feature"
Push to your fork: git push origin feature/your-feature
Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

API Documentation: API Docs
Documentation: GitHub Wiki
Issues: GitHub Issues
Discussions: GitHub Discussions

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that enables LLMs like Claude and Cursor to manage social media accounts and create posts across multiple platforms (including Facebook, Instagram, Twitter, LinkedIn, TikTok) through Simplified's API.

Related MCP Servers

LinkedIn MCP Server
Hritik003
-
security
F
license
-
quality
A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.
Last updated -
22
SimpleLocalize MCP Server
GalvinGao
A
security
A
license
A
quality
A Model Context Protocol server that enables users to manage translations for their applications through SimpleLocalize's localization platform via natural language prompts in Cursor.
Last updated -
2
3
MIT License
MCP OpenAPI Server
ReAPI-com
A
security
A
license
A
quality
A Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.
Last updated -
7
78
60
MIT License
LinkedIn MCP Server
baptitse-jn
-
security
F
license
-
quality
A comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.
Last updated -
1

View all related MCP servers