MCP Platform Documentation
🎯 The MCP Ecosystem Problem
Today's Reality: MCP tools are scattered across GitHub with different APIs, deployment methods, and quality levels. Developers waste weeks making them work together.
Our Solution: Standardized, production-ready templates that work together seamlessly + optional managed hosting for teams.
🚀 Two Ways to Deploy
Open Source Templates (Free Forever)
Perfect for developers who want standardized MCP servers: - 🔓 Complete source code - All templates MIT/Apache licensed - � Proven patterns - Production-ready architecture, not experimental code - � Ecosystem compatibility - Templates work together seamlessly - 🏠 Your infrastructure - Deploy anywhere, own your data - 🛠️ Full customization - Modify, extend, redistribute freely - 💰 Zero platform fees - Just your infrastructure costs - 📚 Community support - Documentation, examples, discussions
Managed Platform (Enterprise Features)
Perfect for teams who want production operations handled: - ⚡ One-click deployment - Deploy any template in seconds - 📊 Built-in monitoring - Metrics, logs, alerting included - 👥 Team management - User permissions, collaboration tools - 🔒 Enterprise security - SSO, audit logs, compliance - � Workflow orchestration - Connect templates into automated processes - � Auto-scaling - Handle traffic spikes automatically - 🎧 Professional support - SLA-backed technical support
🚀 Quick Start
Using Open Source Templates
# Instead of finding random MCP tools, use proven templates
git clone https://github.com/Data-Everything/mcp-server-templates.git
cd mcp-server-templates
# Deploy standardized GitHub + Slack + Database stack
cd github && docker-compose up -d # Port 8001
cd ../slack && docker-compose up -d # Port 8002
cd ../database && docker-compose up -d # Port 8003
# All templates work together - share auth, data, workflows
curl http://localhost:8001/health # ✅ All ready
curl http://localhost:8002/health # ✅ Consistent APIs
curl http://localhost:8003/health # ✅ Standard patterns
Using Managed Platform
```bash
1. Sign up and get API key
curl -X POST https://api.mcp-platform.ai/auth/register \ -H "Content-Type: application/json" \ -d '{"email":"you@company.com"}'
2. Deploy same templates with one command
curl -X POST https://api.mcp-platform.ai/deployments \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{"templates":["github","slack","database"],"workflow":"github-to-slack-to-db"}'
3. Everything auto-configured, monitored, scaled
Use provided webhook URLs with your AI assistant
```!!! tip "Works with Any AI" MCP Platform is LLM agnostic - works with ChatGPT, Claude, Gemini, Llama, and any AI that supports the Model Context Protocol.
📚 Documentation Structure
🚀 Getting Started
- Quick Start Guide - Get up and running in 5 minutes
- Installation - Development and production setup
- Core Concepts - Understanding MCP and the platform
🎯 User Guides
- Template Library - Available MCP server templates
- Client Integration - Connect AI assistants and applications
- Deployment Guide - How to deploy MCP servers
- Workflow Automation - Build automated processes
🛠️ Developer Resources
- Template Development - Create custom templates
- SDK & Libraries - Programming language SDKs
- Contributing - How to contribute to the platform
🔧 Administration
- Platform Management - User and resource management
- Security & Compliance - Security features and compliance
- Monitoring & Analytics - Platform observability
- Troubleshooting - Common issues and solutions
📋 Reference
- Template Schema - JSON schema for templates
- Environment Variables - Configuration options
- CLI Reference - Command-line interface
- Changelog - Platform updates and releases
🎯 Popular Use Cases
-
:material-headset: Customer Support
AI analyzes tickets, routes to teams, updates CRM automatically.
85% faster resolution
-
:material-code-braces: Development
AI reviews PRs, manages deployments, creates issues automatically.
3x faster delivery
-
:material-chart-line: Sales & Marketing
AI qualifies leads, updates CRM, sends personalized campaigns.
40% higher conversion
-
:material-database: Data Analysis
AI queries databases, generates reports, provides insights.
10x faster insights
🌟 Why MCP Platform?
⚡ Lightning Fast
Deploy enterprise-grade AI integrations in 60 seconds instead of 6 months.
🔒 Enterprise Secure
SOC2 compliant with encryption, audit logs, and role-based access control.
🌐 LLM Agnostic
Works with any AI - ChatGPT, Claude, Gemini, Llama, or custom models.
📈 Auto-Scaling
Handles 1 to 1000+ requests per second with zero configuration.