MCP Servers Collection

A comprehensive collection of Model Context Protocol (MCP) servers for integrating enterprise APIs with GenAI applications.

Overview

This collection provides production-ready MCP servers for major enterprise platforms, enabling seamless integration with AI agents and GenAI applications. Each server is designed with enterprise requirements in mind: security, scalability, and reliability.

Available Servers

Cloud Platforms

Server	Description	Status
AWS MCP Server	Amazon Web Services - comprehensive cloud services integration	Ready
GCP MCP Server	Google Cloud Platform - complete GCP services integration	Ready
Azure MCP Server	Microsoft Azure - full Azure services integration	Ready

CRM & Sales Platforms

Server	Description	Status
Salesforce MCP Server	Complete Salesforce CRM, Sales Cloud, Service Cloud integration	Ready
HubSpot MCP Server	HubSpot CRM, Marketing, Sales, and Service Hub integration	Ready
Zoho CRM MCP Server	Zoho CRM suite integration	Ready

DevOps & CI/CD

Server	Description	Status
Jenkins MCP Server	Jenkins CI/CD automation server integration	Ready
GitLab MCP Server	GitLab DevOps platform integration	Ready
ArgoCD MCP Server	GitOps continuous delivery for Kubernetes	Ready
Harness MCP Server	Continuous delivery and cloud cost management	Ready
Rundeck MCP Server	Runbook automation and job scheduling	Ready

Container & Orchestration

Server	Description	Status
Rancher MCP Server	Kubernetes management platform	Ready

Business Intelligence & Analytics

Server	Description	Status
Power BI MCP Server	Microsoft Power BI analytics and visualization	Ready
Tableau MCP Server	Tableau data visualization platform	Ready

Accounting & Finance

Server	Description	Status
QuickBooks MCP Server	QuickBooks accounting software integration	Ready
Xero MCP Server	Xero cloud accounting platform	Ready
FreshBooks MCP Server	FreshBooks small business accounting	Ready

Marketing & Communication

Server	Description	Status
Mailchimp MCP Server	Email marketing and automation platform	Ready
Hootsuite MCP Server	Social media management platform	Ready
Chanty MCP Server	Team collaboration platform	Ready

IT Service Management & Automation

Server	Description	Status
ServiceNow MCP Server	IT service management platform	Ready
UiPath MCP Server	Robotic Process Automation (RPA) platform	Ready

Version Control

Server	Description	Status
Git MCP Server	Git repository operations and management	Ready

Key Features

Enterprise-Ready

• Production-grade error handling
• Comprehensive logging and monitoring
• Rate limiting and retry logic
• Multi-tenant/multi-account support

Security First

• Multiple authentication methods (OAuth 2.0, API keys, JWT)
• Role-based access control (RBAC)
• Audit logging
• Encryption at rest and in transit

Developer Friendly

• Consistent API design across all servers
• Comprehensive documentation
• Example code for common use cases
• Easy configuration via environment variables

GenAI Optimized

• Designed for AI agent integration
• Structured tool definitions
• Context-aware responses
• Batch operation support

Quick Start

Installation

Each server can be installed via pip:

pip install salesforce-mcp-server
pip install aws-mcp-server
pip install hubspot-mcp-server
# ... etc

Basic Usage

All servers follow a consistent pattern:

from salesforce_mcp import SalesforceMCPServer

# Initialize with configuration
server = SalesforceMCPServer(
    instance_url="https://your-instance.salesforce.com",
    username="your-username",
    password="your-password",
    security_token="your-token"
)

# Start the server
server.start()

Claude Desktop Integration

Add any server to your Claude Desktop configuration:

{
  "mcpServers": {
    "salesforce": {
      "command": "python",
      "args": ["-m", "salesforce_mcp.server"],
      "env": {
        "SALESFORCE_INSTANCE_URL": "https://your-instance.salesforce.com",
        "SALESFORCE_USERNAME": "your-username",
        "SALESFORCE_PASSWORD": "your-password",
        "SALESFORCE_SECURITY_TOKEN": "your-token"
      }
    }
  }
}

Architecture

All MCP servers in this collection follow a consistent architecture:

server-name-mcp-server/
├── src/
│   └── server_name_mcp/
│       ├── __init__.py
│       ├── server.py      # MCP server implementation
│       ├── client.py      # API client wrapper
│       ├── config.py      # Configuration management
│       ├── auth.py        # Authentication handlers
│       └── exceptions.py  # Custom exceptions
├── tests/
│   ├── test_server.py
│   ├── test_client.py
│   └── test_auth.py
├── examples/
│   ├── basic_usage.py
│   ├── genai_integration.py
│   └── advanced_scenarios.py
├── pyproject.toml
├── README.md
└── LICENSE

Contributing

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

Development Setup

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

Security

• Report security vulnerabilities to security@lokimcpuniverse.com
• See SECURITY.md for our security policy

Support

• Documentation: Each server has comprehensive README
• Issues: Use GitHub Issues for bug reports and feature requests
• Discussions: Join our GitHub Discussions for community support

License

All servers in this collection are released under the MIT License. See individual repositories for details.

Author

AskLokesh - Cloud & Agentic AI Solutions Architect

• GitHub: @asklokesh
• LinkedIn: AskLokesh
• Organization: LokiMCPUniverse

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Built with focus on enterprise integration, security, and GenAI compatibility.