Skyenet MCP Ace
S

Skyenet MCP Ace

2 points
7.0K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

๐Ÿš€ SkyeNet-MCP-ACE

ServiceNow Background Script Execution for AI Agents - A Model Context Protocol (MCP) server that enables AI agents to execute server-side JavaScript directly on ServiceNow instances with context bloat reduction features.

๐Ÿš€ Quick Start

Prerequisites

  • Node.js 20+ (system-wide installation recommended)
  • ServiceNow instance with API access
  • Root/sudo access for system-wide installation

Installation

# Clone the repository
git clone https://github.com/skyenet/skyenet-mcp-ace.git
cd skyenet-mcp-ace

# Bulletproof deployment (handles all edge cases)
sudo ./bulletproof-deploy.sh

# Verify installation
./bulletproof-verify.sh

Configuration

Create your ServiceNow credentials file:

# Copy the example file
cp servicenow-ace.env.example ~/.servicenow-ace.env

# Edit with your ServiceNow details
nano ~/.servicenow-ace.env

Required environment variables:

SNOW_INSTANCE=https://your-instance.service-now.com
SNOW_USERNAME=your-username
SNOW_PASSWORD=your-password

Codex Integration

Add to your Codex configuration (/etc/codex/config.toml):

[[mcp.servers.skyenet-ace]]
command = "/usr/local/sbin/skyenet-mcp-ace-server"
args = []

โœจ Features

๐Ÿ’ป Available Tools

1. execute_background_script

Execute server-side JavaScript directly on ServiceNow instances.

Parameters:

  • script (string): The JavaScript code to execute
  • quiet (boolean, optional): Ultra-minimal response mode

Example:

// Get user information
var user = new GlideRecord('sys_user');
user.get('admin');
gs.print(user.getDisplayValue());

2. execute_table_operation

Perform CRUD operations on ServiceNow tables with context bloat reduction.

Parameters:

  • operation (string): GET, POST, PUT, DELETE
  • table (string): Table name (e.g., 'sys_user', 'incident')
  • sys_id (string, optional): Record sys_id for specific operations
  • sys_ids (array, optional): Multiple sys_ids for batch operations
  • fields (array, optional): Specific fields to retrieve
  • query (string, optional): Encoded query string
  • limit (number, optional): Maximum records to return
  • strict_fields (boolean, optional): Enable strict field validation
  • response_mode (string, optional): 'minimal' for reduced response size

Examples:

// Get user records
{
  "operation": "GET",
  "table": "sys_user",
  "fields": ["sys_id", "user_name", "email"],
  "limit": 10,
  "response_mode": "minimal"
}

// Create incident
{
  "operation": "POST",
  "table": "incident",
  "data": {
    "short_description": "New incident",
    "priority": "3"
  }
}

3. execute_updateset_operation

Manage ServiceNow Update Sets with context bloat reduction.

Parameters:

  • operation (string): recent, contents, set_working, get_working
  • update_set_sys_id (string, optional): Update Set sys_id
  • response_mode (string, optional): 'minimal' for reduced response size
  • quiet (boolean, optional): Ultra-minimal response mode

Examples:

// Get recent XML activity (minimal mode)
{
  "operation": "recent",
  "response_mode": "minimal"
}

// Set working update set
{
  "operation": "set_working",
  "update_set_sys_id": "abc123def456",
  "quiet": true
}

๐Ÿ”ง Context Bloat Reduction Features

Minimal Mode

  • Table API: Truncates large fields, limits records, removes redundant data
  • Update Sets: Limits to 5 records, compact summaries, flattened structure
  • Background Scripts: Truncates output, removes verbose logging

Quiet Mode

  • Ultra-minimal responses: Only success/failure status
  • No verbose output: Essential information only
  • Reduced token usage: 90%+ reduction in response size

Response Size Examples

  • Standard Table API: ~15KB
  • Minimal Table API: ~700 bytes
  • Quiet Update Set: ~300 bytes
  • Minimal Update Set: ~2.6KB

๐Ÿ”„ Maintenance

Update Installation

# Pull latest changes
git pull origin main

# Re-run bulletproof deployment
sudo ./bulletproof-deploy.sh

# Verify everything works
./bulletproof-verify.sh

Clean Reinstall

# Clean everything
sudo rm -rf /usr/local/lib/node_modules/skyenet-mcp-ace
sudo rm -f /usr/local/sbin/skyenet-mcp-ace-server

# Re-run bulletproof deployment
sudo ./bulletproof-deploy.sh

# Verify
./bulletproof-verify.sh

๐Ÿšจ Troubleshooting

Server Won't Start

# Check server binary
ls -la /usr/local/sbin/skyenet-mcp-ace-server

# Test manually
/usr/local/sbin/skyenet-mcp-ace-server

# Check Node.js version
/usr/bin/node --version

Codex Timeout Issues

# Verify server works
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}' | /usr/local/sbin/skyenet-mcp-ace-server

# Check Codex configuration
cat /etc/codex/config.toml | grep skyenet

Permission Issues

# Fix permissions
sudo chmod +x /usr/local/sbin/skyenet-mcp-ace-server

# Verify ownership
sudo chown root:root /usr/local/sbin/skyenet-mcp-ace-server

๐Ÿ“Š Project Structure

SkyeNet-MCP-ACE/
โ”œโ”€โ”€ bulletproof-deploy.sh    # Bulletproof deployment script
โ”œโ”€โ”€ bulletproof-verify.sh    # Comprehensive verification
โ”œโ”€โ”€ src/                     # TypeScript source code
โ”‚   โ”œโ”€โ”€ index.ts            # Main MCP server
โ”‚   โ”œโ”€โ”€ servicenow/         # ServiceNow integration
โ”‚   โ””โ”€โ”€ utils/               # Utility functions
โ”œโ”€โ”€ build/                  # Compiled JavaScript
โ””โ”€โ”€ README.md              # This file

๐Ÿ”’ Security

  • Credential Management: Separate from MCP-Connect
  • Field Validation: Prevents injection attacks
  • Error Handling: Secure error responses
  • System-wide Installation: Proper permissions

๐Ÿ“ˆ Performance

  • Response Times: < 3 seconds for most operations
  • Memory Usage: Optimized for AI agent interactions
  • Token Efficiency: 90%+ reduction in context bloat
  • Reliability: Bulletproof deployment ensures stability

๐Ÿ’ก Usage Tip

For detailed deployment instructions, see the bulletproof deployment script comments.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
6.2K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
7.1K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.5K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
6.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.1K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
6.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.7K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.1K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
29.4K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
58.1K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
55.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
39.5K
4.8 points