Complete MCP Ecosystem Guide
Discover 70+ MCP clients and servers to supercharge your AI development workflow
Expand Your MCP Ecosystem
The Model Context Protocol ecosystem includes 70+ clients and servers spanning AI assistants, code editors, databases, cloud services, and communication tools. Build powerful multi-provider workflows that revolutionize your development process.
Ecosystem Overview
Popular MCP Clients
Discover the most popular applications that support MCP integration, each offering unique capabilities and integration patterns for different use cases.
Claude Desktop
Comprehensive support for MCP with local tools and data sources
Key Features
- Full support for resources
- Support for prompt templates
- Tool integration
- Local server connections
Claude.ai
Web-based AI assistant with remote MCP server support
Key Features
- Remote MCP servers
- Tools, prompts, and resources
- Enterprise security
- Conversational interface
VS Code GitHub Copilot
Full MCP integration with agent mode and dynamic discovery
Key Features
- Dynamic tool discovery
- Secure secret configuration
- Tool prompting
- Multi-transport support
Cursor
AI code editor with MCP tools support in Composer
Key Features
- Composer integration
- STDIO and SSE support
- AI code assistance
- Project context
Windsurf Editor
Agentic IDE with AI Flow and MCP tool discovery
Key Features
- AI Flow paradigm
- Tool discovery
- Collaborative development
- Multi-model support
Continue
Open-source AI code assistant with built-in MCP support
Key Features
- Type "@" to mention resources
- Slash commands for prompts
- VS Code & JetBrains support
Cline
Autonomous coding agent in VS Code with natural language MCP creation
Key Features
- Natural language tool creation
- Custom MCP servers
- File operations
- Error logging
Warp
Intelligent terminal with built-in AI and MCP support
Key Features
- Agent mode with MCP
- Flexible server management
- Live discovery
- Auto-startup
MCP Server Ecosystem
Comprehensive catalog of MCP servers organized by category. Each server extends your AI development tools with specialized functionality.
Code Management
Source control, repositories, and development workflow tools
GitHub MCP
Official GitHub server for repository management and code analysis
Features:
Installation:
npm install -g @github/mcp-serverGitLab MCP
Comprehensive GitLab integration for DevOps workflows
Features:
Installation:
npm install -g @gitlab/mcp-serverDatabase & Storage
Database connectivity and data storage solutions
PostgreSQL MCP
Direct database connectivity for PostgreSQL databases
Features:
Installation:
npm install -g @anthropic/mcp-server-postgresMySQL MCP
MySQL database integration with query optimization
Features:
Installation:
npm install -g @mysql/mcp-serverMongoDB MCP
NoSQL database integration for modern applications
Features:
Installation:
npm install -g @mongodb/mcp-serverCloud Storage
Cloud-based file storage and collaboration platforms
Google Drive MCP
Cloud storage integration with Google Drive services
Features:
Installation:
npm install -g @google/mcp-server-driveDropbox MCP
File synchronization and sharing via Dropbox
Features:
Installation:
npm install -g @dropbox/mcp-serverOneDrive MCP
Microsoft OneDrive integration for Office 365
Features:
Installation:
npm install -g @microsoft/mcp-server-onedriveCommunication
Team communication and notification systems
Slack MCP
Team communication and notification management
Features:
Installation:
npm install -g @slack/mcp-serverDiscord MCP
Community and team communication via Discord
Features:
Installation:
npm install -g @discord/mcp-serverMicrosoft Teams MCP
Enterprise communication and collaboration
Features:
Installation:
npm install -g @microsoft/mcp-server-teamsDevOps & Infrastructure
Development operations and infrastructure management
Docker MCP
Container management and deployment automation
Features:
Installation:
npm install -g @docker/mcp-serverKubernetes MCP
Container orchestration and cluster management
Features:
Installation:
npm install -g @kubernetes/mcp-serverAWS MCP
Amazon Web Services cloud infrastructure management
Features:
Installation:
npm install -g @aws/mcp-serverSearch & Information
Web search and information retrieval services
Brave Search MCP
Privacy-focused web search capabilities
Features:
Installation:
npm install -g @brave/mcp-server-searchGoogle Search MCP
Comprehensive web search via Google APIs
Features:
Installation:
npm install -g @google/mcp-server-searchWikipedia MCP
Access to Wikipedia knowledge base
Features:
Installation:
npm install -g @wikipedia/mcp-serverEnterprise Capabilities
Advanced Authentication
Enterprise-grade security and access control
- OAuth 2.0 and SAML integration
- Multi-factor authentication support
- Role-based access control (RBAC)
- API key rotation and management
- Single sign-on (SSO) integration
Scalability & Performance
Built for large-scale enterprise deployments
- Horizontal scaling capabilities
- Load balancing and failover
- Connection pooling optimization
- Caching and performance tuning
- Resource usage monitoring
Compliance & Governance
Meet enterprise compliance requirements
- Audit logging and compliance tracking
- Data residency and sovereignty
- GDPR and SOC 2 compliance
- Security vulnerability scanning
- Regular penetration testing
Integration Ecosystem
Seamless integration with existing tools
- REST API for custom integrations
- Webhook support for real-time updates
- SDK support for multiple languages
- Legacy system compatibility
- Custom connector development
Enterprise Implementation Guide
Step-by-step approach to implementing MCP at enterprise scale with proper planning, security, and governance considerations.
Discovery & Planning
Assess requirements and plan MCP integration strategy
Key Tasks:
- Inventory existing tools and data sources
- Identify MCP integration opportunities
- Define security and compliance requirements
- Create integration architecture plan
- Establish success metrics and KPIs
Pilot Implementation
Deploy MCP servers for selected use cases
Key Tasks:
- Set up development environment
- Install and configure priority MCP servers
- Implement authentication and security
- Create pilot workflows and test cases
- Train pilot user group
Production Deployment
Scale to full production environment
Key Tasks:
- Deploy production infrastructure
- Implement monitoring and alerting
- Configure backup and disaster recovery
- Roll out to broader user base
- Establish support procedures
Optimization & Expansion
Continuous improvement and additional integrations
Key Tasks:
- Monitor performance and usage metrics
- Optimize configurations and workflows
- Add new MCP servers and capabilities
- Gather user feedback and iterate
- Expand to additional use cases
MCP Community & Resources
Join the growing MCP community to discover new providers, share workflows, and get help with integrations.
Official MCP Registry
Browse all available providers
GitHub Discussions
Community support and Q&A
Provider Documentation
Comprehensive integration guides
Developer Discord
Real-time chat and support
Ready to Build Multi-Provider Workflows?
Combine Edvora AI with the powerful MCP ecosystem to create sophisticated AI development workflows. Start with the providers that match your tech stack and gradually expand your capabilities.