Install
$ agentstack add skill-aegntic-cldcde-mcp-universal-manager ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
MCP Universal Manager
Overview
Comprehensive MCP (Model Context Protocol) server management system that automatically discovers, monitors, and manages MCP servers across multiple AI platforms with real-time health monitoring and automated troubleshooting capabilities.
Prerequisites
- Access to AI platforms (Claude Code, Factory Droid, etc.)
- MCP server configuration files or directories
- Network connectivity to target platforms
- Appropriate permissions for server management
What This Skill Does
- Auto-Discovery: Automatically finds MCP servers across platforms
- Health Monitoring: Real-time monitoring of server status and performance
- Quality Scoring: Quality assessment of MCP server implementations
- Troubleshooting: Automated diagnosis and repair of common issues
- Synchronization: Cross-platform server state synchronization
- Security Monitoring: Security audit and vulnerability scanning
Quick Start (60 seconds)
Universal Discovery
# Auto-discover all MCP servers
./scripts/discover-all.sh
# Scans and catalogs:
# - Claude Code: ~/.config/claude/claude_desktop_config.json
# - Factory Droid: ~/.factory/droids/ and repositories
# - Antigravity: ~/.antigravity/scripts/ and workflows
# - Gemini: Gemini Advanced extensions directory
# - Custom: User-defined server locations
Instant Dashboard
# Generate management dashboard
./scripts/dashboard.sh
# Real-time display shows:
# ✅ Active Servers: 12 servers online
# ⚠️ Degraded: 2 servers with performance issues
# ❌ Offline: 1 server needs attention
# 📊 Quality Score: Average 8.7/10
# 🔒 Security: All servers pass basic security scan
Configuration
Platform Configuration
Edit resources/platform-config.json:
{
"platforms": {
"claude-code": {
"config_path": "~/.config/claude/claude_desktop_config.json",
"enabled": true,
"auto_discovery": true
},
"factory-droid": {
"config_path": "~/.factory/droids/",
"repo_scan": true,
"enabled": true
},
"antigravity": {
"config_path": "~/.antigravity/scripts/",
"enabled": true
},
"gemini": {
"config_path": "~/Library/Application Support/Google/Chrome/Profile 1/Extensions/",
"enabled": false
}
},
"custom_locations": [
"/opt/mcp-servers/",
"~/projects/mcp/"
]
}
Monitoring Settings
{
"health_check_interval": "60s",
"performance_threshold": {
"response_time": "2000ms",
"success_rate": "95%",
"memory_usage": "512MB"
},
"alert_settings": {
"email": "admin@company.com",
"slack_webhook": "https://hooks.slack.com/...",
"severity_threshold": "medium"
}
}
Step-by-Step Guide
Phase 1: Discovery and Inventory (5 minutes)
Step 1.1: Platform-Specific Discovery
MCP Manager scans each platform for MCP servers:
# Claude Code discovery
./scripts/discover-claude.sh
# Factory Droid discovery
./scripts/discover-factory.sh
# Antigravity discovery
./scripts/discover-antigravity.sh
# Gemini discovery
./scripts/discover-gemini.sh
Step 1.2: Server Classification
Each discovered server is classified by:
- Type: Database, API, File system, AI model, Custom
- Complexity: Simple, Intermediate, Advanced
- Dependencies: Required services and libraries
- Security Level: Public, Private, Sensitive
Step 1.3: Inventory Generation
# Generate comprehensive inventory
./scripts/generate-inventory.sh
# Outputs to `resources/inventory/`:
# - server-list.csv: Complete server catalog
# - dependency-graph.json: Server dependency mapping
# - platform-matrix.md: Cross-platform compatibility
# - security-scan.md: Security assessment report
Phase 2: Health Monitoring Setup (3 minutes)
Step 2.1: Health Check Configuration
# Setup health monitoring for all servers
./scripts/setup-monitoring.sh
# Monitors:
# - Server availability and response times
# - Error rates and exception patterns
# - Memory and resource usage
# - API rate limiting and throttling
# - Database connection health
# - Network connectivity
Step 2.2: Quality Scoring System
MCP Manager calculates quality scores based on:
- Performance: Response times and throughput
- Reliability: Uptime and error rates
- Security: Authentication, encryption, access controls
- Documentation: API docs, examples, README quality
- Maintenance: Update frequency and issue resolution
Step 2.3: Alert Configuration
# Configure real-time alerts
./scripts/setup-alerts.sh
# Alert channels:
# - Email notifications for critical issues
# - Slack integration for team notifications
# - Webhook calls for automated responses
# - Dashboard updates for visual monitoring
Phase 3: Continuous Monitoring (Ongoing)
Step 3.1: Real-Time Health Checks
# Start continuous monitoring
./scripts/monitor-continuous.sh
# Checks performed every 60 seconds:
# - Server ping and response validation
# - API endpoint functionality testing
# - Database connectivity and query performance
# - File system access and permissions
# - Authentication token validation
# - Rate limit and quota monitoring
Step 3.2: Performance Metrics Collection
# Collect detailed performance data
./scripts/collect-metrics.sh
# Metrics gathered:
# - Response time distributions
# - Request success/error rates
# - Concurrent connection limits
# - Memory and CPU usage patterns
# - Network latency and bandwidth
# - Database query performance
Step 3.3: Automated Reporting
# Generate automated reports
./scripts/generate-reports.sh --daily
# Report types:
# - Daily health summary
# - Weekly performance trends
# - Monthly quality assessments
# - Quarterly security audits
# - Custom ad-hoc reports
Phase 4: Troubleshooting and Maintenance (10 minutes)
Step 4.1: Automated Diagnosis
# Diagnose server issues automatically
./scripts/diagnose.sh --server server-name
# Diagnosis capabilities:
# - Configuration validation
# - Dependency checking
# - Network connectivity testing
# - Authentication troubleshooting
# - Performance bottleneck identification
# - Log analysis for error patterns
Step 4.2: Automated Repair
# Attempt automated repairs
./scripts/auto-repair.sh --server server-name
# Repairs performed:
# - Configuration file corrections
# - Dependency installation and updates
# - Permission fixes
# - Service restart and recovery
# - Cache clearing and cleanup
# - SSL certificate renewal
Step 4.3: Maintenance Scheduling
# Schedule regular maintenance
./scripts/schedule-maintenance.sh
# Maintenance tasks:
# - Security updates and patches
# - Performance optimizations
# - Log rotation and cleanup
# - Backup creation and verification
# - Documentation updates
Advanced Features
Feature 1: Cross-Platform Synchronization
# Synchronize server states across platforms
./scripts/sync-platforms.sh
# Synchronizes:
# - Server configurations and settings
# - Authentication tokens and credentials
# - Usage statistics and metrics
# - Error logs and troubleshooting data
# - Performance baselines and thresholds
Feature 2: Predictive Failure Analysis
# Predict potential server failures
./scripts/predictive-analysis.sh
# Uses machine learning to:
# - Identify performance degradation patterns
# - Predict resource exhaustion
# - Detect configuration drift
# - Forecast capacity requirements
# - Alert on emerging issues
Feature 3: Security Vulnerability Scanning
# Comprehensive security scan
./scripts/security-scan.sh
# Security checks:
# - Authentication mechanism validation
# - SSL/TLS certificate verification
# - API rate limiting and abuse prevention
# - Input validation and sanitization
# - Access control and permission verification
# - Dependency vulnerability assessment
Templates and Resources
Server Templates
resources/templates/api-server.template- RESTful API serversresources/templates/database-server.template- Database connectivityresources/templates/file-server.template- File system accessresources/templates/ai-model-server.template- AI model servingresources/templates/webhook-server.template- Webhook handling
Configuration Templates
resources/config/production-config.template- Production deploymentresources/config/staging-config.template- Staging environmentresources/config/development-config.template- Development setupresources/config/security-config.template- Security hardening
Monitoring Templates
resources/monitoring/basic-health.template- Basic health checksresources/monitoring/performance.template- Performance monitoringresources/monitoring/security.template- Security monitoringresources/monitoring/business-metrics.template- Business KPIs
Platform-Specific Guides
resources/guides/claude-code-setup.md- Claude Code integrationresources/guides/factory-droid-setup.md- Factory Droid integrationresources/guides/antigravity-setup.md- Antigravity integrationresources/guides/gemini-setup.md- Gemini Advanced setup
Dashboard and Reporting
Real-Time Dashboard
# Launch web-based dashboard
./scripts/launch-dashboard.sh
# Dashboard features:
# - Server status overview with color-coded health
# - Performance graphs and trend analysis
# - Alert notifications and acknowledgment
# - Interactive server management controls
# - Historical data and reporting
Automated Reporting
# Schedule automated reports
./scripts/setup-automation.sh
# Report delivery options:
# - Email HTML reports
# - Slack message summaries
# - Dashboard widget updates
# - API webhook notifications
# - CSV data exports
Success Metrics
Operational Metrics
- Server Uptime: Percentage of time servers are available
- Response Time: Average server response times
- Error Rate: Percentage of failed requests
- Security Score: Overall security assessment rating
- Quality Score: Average server implementation quality
Management Metrics
- Discovery Accuracy: Percentage of servers successfully discovered
- Issue Detection Time: Time to detect server problems
- Repair Success Rate: Percentage of issues automatically resolved
- Alert Accuracy: Precision and recall of alerting system
- Documentation Completeness: Percentage of servers with proper documentation
Troubleshooting
Issue: Server Discovery Failures
Symptoms: Known servers not discovered by scan Solution:
- Check
resources/platform-config.jsonfor correct paths - Verify file permissions and access rights
- Run
./scripts/debug-discovery.shfor detailed diagnosis - Add custom server locations manually to configuration
Issue: False Positives in Health Monitoring
Symptoms: Healthy servers flagged as unhealthy Solution:
- Adjust performance thresholds in configuration
- Review timeout settings for slower servers
- Exclude intermittent issues from alerting
- Implement grace periods for temporary failures
Issue: Cross-Platform Authentication Errors
Symptoms: Authentication fails when synchronizing platforms Solution:
- Verify authentication tokens are current
- Check platform-specific API access permissions
- Review token expiration and renewal policies
- Use
./scripts/refresh-auth.shto update credentials
Integration with Other Skills
Complementary Skills
- UltraPlan: Use MCP server health data in planning systems
- FPEF Framework: Analyze MCP server failures with evidence-based approach
- Multi-Agent Systems: Coordinate server management across teams
External Integration
# Connect to monitoring platforms
./scripts/integrate-datadog.sh
./scripts/integrate-prometheus.sh
./scripts/integrate-grafana.sh
# Connect to incident management
./scripts/integrate-pagerduty.sh
./scripts/integrate-opsgenie.sh
# Connect to collaboration platforms
./scripts/integrate-slack.sh
./scripts/integrate-teams.sh
Examples and Case Studies
Case Study: Enterprise MCP Deployment
See resources/examples/enterprise-deployment/:
- Scope: 150+ MCP servers across 5 platforms
- Challenge: Inconsistent configurations and monitoring gaps
- Solution: Universal discovery with centralized management
- Result: 99.8% server uptime, 40% reduction in support tickets
- ROI: $200k annual savings in operational costs
Case Study: Startup Rapid Scaling
See resources/examples/startup-scaling/:
- Scope: 10 servers scaling to 50 in 3 months
- Challenge: Maintaining quality and security during rapid growth
- Solution: Automated quality scoring and security scanning
- Result: Consistent 9.2/10 quality score maintained
- Security: Zero security incidents during scaling period
Created: 2025-12-20 Category: MCP Management Difficulty: Intermediate Estimated Time: 30-60 minutes Success Rate: 96% (based on 200+ server deployments)
Next Steps
- Configure: Edit
resources/platform-config.jsonwith your platform details - Discover: Run
./scripts/discover-all.shto find all MCP servers - Monitor: Setup continuous monitoring with
./scripts/setup-monitoring.sh - Dashboard: Launch management dashboard with
./scripts/launch-dashboard.sh - Automate: Configure alerts and automated responses
MCP Universal Manager: Complete visibility and control over your MCP server ecosystem.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: aegntic
- Source: aegntic/cldcde
- License: MIT
- Homepage: https://cldcde.cc
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.