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CloudForge MCP

// Enterprise Model Context Protocol infrastructure

CloudForge MCP provides production-ready Model Context Protocol servers that seamlessly connect AI models to your enterprise data, APIs, and tools. Build intelligent AI applications with secure, scalable, and standardized context sharing.

What is Model Context Protocol?

MCP is an open standard that enables seamless integration between AI models and external systems. It provides a unified way for LLMs to access tools, query databases, call APIs, and interact with any data source while maintaining security and context.

Standardized
Universal protocol for AI integration
Secure
Enterprise-grade access control
Scalable
Handle millions of requests

Platform Features

🔌 Universal Connectors

Pre-built Integrations

Ready-to-use MCP servers for popular databases, APIs, SaaS tools, and enterprise systems. PostgreSQL, MongoDB, Salesforce, Slack, and 100+ more.

🛠️ Custom Servers

Build Your Own

SDK and framework for creating custom MCP servers tailored to your specific needs. Full TypeScript/Python support with built-in best practices.

🔐 Security First

Enterprise Security

Role-based access control, audit logging, encryption at rest and in transit, SOC 2 compliance, and zero-trust architecture.

📊 Observability

Complete Monitoring

Real-time metrics, request tracing, performance analytics, and cost tracking. Integration with DataDog, New Relic, and Prometheus.

Architecture

// MCP Server Architecture
AI Applications
Claude, GPT-4, Gemini
CloudForge MCP Gateway
Authentication • Routing • Rate Limiting • Caching
Databases
PostgreSQL, MongoDB
APIs
REST, GraphQL, gRPC
Tools
Git, Docker, K8s
SaaS
Salesforce, Slack

Quick Start

// Deploy an MCP server in minutes
# Install CloudForge CLI
$ npm install -g @openblt/cloudforge-cli

# Initialize a new MCP server
$ cloudforge init my-mcp-server

# Configure your data sources
$ cloudforge add postgres --url $DATABASE_URL
$ cloudforge add api --spec openapi.yaml

# Deploy to production
$ cloudforge deploy --env production

MCP server deployed at:
https://my-mcp-server.cloudforge.dev

Use Cases

AI Assistants

  • • Customer support bots
  • • Internal knowledge bases
  • • Code generation tools
  • • Research assistants

Data Analysis

  • • Business intelligence
  • • Real-time analytics
  • • Report generation
  • • Predictive modeling

Automation

  • • Workflow orchestration
  • • Task automation
  • • Process optimization
  • • System integration

Deployment Options

Cloud

Fully managed MCP servers on our infrastructure. Zero maintenance, automatic scaling.

Starting at $99/month
RECOMMENDED

Hybrid

Control plane in cloud, data plane in your VPC. Best of both worlds.

Starting at $299/month

Self-Hosted

Deploy on your infrastructure with enterprise support and SLA.

Contact for pricing

Ready to Connect Your AI?

Join leading enterprises using CloudForge MCP to build intelligent AI applications.