03-MULTI-MCP-ORCHESTRATION.md•10.5 kB
# Multi-MCP Orchestration Implementation
## Architecture for Multi-MCP Coordination
### 1. MCP Registry & Discovery
```typescript
// src/orchestrator/registry.ts
export class MCPServerRegistry {
private servers = new Map<string, MCPServerConnection>();
async register(name: string, config: MCPServerConfig) {
const connection = await MCPServerConnection.create(config);
this.servers.set(name, connection);
// Discover capabilities
const capabilities = await connection.getCapabilities();
console.log(`Registered ${name} with ${capabilities.tools.length} tools`);
}
async discover() {
// Auto-discover MCP servers from:
// - Environment variables
// - Configuration files
// - Network scan (mDNS)
// - Claude Desktop config
}
getServer(name: string): MCPServerConnection {
const server = this.servers.get(name);
if (!server) throw new Error(`MCP server ${name} not found`);
return server;
}
}
```
### 2. Unified Deployment Interface
```typescript
// src/orchestrator/deployer.ts
export class UnifiedDeployer {
constructor(
private registry: MCPServerRegistry,
private planner: CrossMCPPlanner
) {}
async deploy(template: DeploymentTemplate): Promise<DeploymentResult> {
// Example: Deploy a full-stack application
const deployment = {
name: "production-app",
resources: [
// OPNSense: Network infrastructure
{
server: "opnsense",
type: "network:vlan",
name: "app-vlan",
properties: { tag: 100, interface: "igc2" }
},
{
server: "opnsense",
type: "firewall:rule",
name: "allow-https",
properties: {
interface: "wan",
destination: "${opnsense:haproxy:frontend:web.ip}",
port: 443,
action: "pass"
}
},
// AWS: Compute resources
{
server: "aws",
type: "ec2:instance",
name: "app-server-1",
properties: {
instanceType: "t3.medium",
subnet: "${aws:vpc:subnet:private-1.id}",
securityGroups: ["${aws:ec2:securityGroup:app.id}"]
}
},
// Docker: Application containers
{
server: "docker",
type: "image:build",
name: "app-image",
properties: {
context: "./app",
tag: "myapp:${version}"
}
},
// Kubernetes: Orchestration
{
server: "kubernetes",
type: "deployment",
name: "app-deployment",
properties: {
replicas: 3,
image: "${docker:image:app-image.tag}",
namespace: "production"
}
}
]
};
// Plan across all MCP servers
const plan = await this.planner.plan(deployment);
// Execute in coordinated waves
return await this.executeMultiMCP(plan);
}
private async executeMultiMCP(plan: MultiMCPPlan): Promise<DeploymentResult> {
const results = new Map<string, any>();
for (const wave of plan.waves) {
// Execute resources in parallel within each wave
const wavePromises = wave.resources.map(async (resource) => {
const server = this.registry.getServer(resource.server);
// Resolve any cross-server references
const resolved = await this.resolveReferences(resource, results);
// Call the appropriate MCP tool
const result = await server.callTool(
this.getToolName(resource.type),
resolved.properties
);
// Store outputs for reference resolution
results.set(
`${resource.server}:${resource.type}:${resource.name}`,
result.outputs
);
return result;
});
await Promise.all(wavePromises);
}
return { success: true, results };
}
}
```
### 3. Cross-MCP Communication Protocol
```typescript
// src/orchestrator/protocol.ts
export interface CrossMCPProtocol {
// Resource discovery
listResourceTypes(): Promise<ResourceTypeDefinition[]>;
getResourceSchema(type: string): Promise<JSONSchema>;
// Output negotiation
getResourceOutputs(resourceId: string): Promise<OutputDefinition[]>;
subscribeToOutputChanges(
resourceId: string,
callback: (outputs: any) => void
): Unsubscribe;
// State synchronization
getResourceState(resourceId: string): Promise<ResourceState>;
watchResourceState(
resourceId: string,
callback: (state: ResourceState) => void
): Unsubscribe;
// Health & readiness
healthCheck(): Promise<HealthStatus>;
waitForResource(
resourceId: string,
timeout?: number
): Promise<void>;
}
```
### 4. Pattern Library
```typescript
// src/patterns/library.ts
export class PatternLibrary {
private patterns = new Map<string, DeploymentPattern>();
constructor() {
this.registerBuiltInPatterns();
}
private registerBuiltInPatterns() {
// Load balanced web app
this.register(new LoadBalancedWebAppPattern());
// Secure database cluster
this.register(new SecureDatabaseClusterPattern());
// IoT edge deployment
this.register(new IoTEdgePattern());
// Development environment
this.register(new DevEnvironmentPattern());
}
async deployPattern(
name: string,
params: any,
deployer: UnifiedDeployer
): Promise<DeploymentResult> {
const pattern = this.patterns.get(name);
if (!pattern) throw new Error(`Pattern ${name} not found`);
const deployment = pattern.generate(params);
return await deployer.deploy(deployment);
}
}
// Example pattern
export class LoadBalancedWebAppPattern implements DeploymentPattern {
generate(params: {
appName: string;
domain: string;
minInstances: number;
maxInstances: number;
}): DeploymentTemplate {
return {
name: `${params.appName}-deployment`,
resources: [
// Network isolation
{
server: "opnsense",
type: "network:vlan",
name: "app-network",
properties: { tag: 100 }
},
// SSL certificate
{
server: "aws",
type: "acm:certificate",
name: "ssl-cert",
properties: { domain: params.domain }
},
// Auto-scaling group
{
server: "aws",
type: "autoscaling:group",
name: "app-asg",
properties: {
minSize: params.minInstances,
maxSize: params.maxInstances
}
},
// Load balancer
{
server: "opnsense",
type: "haproxy:frontend",
name: "web-frontend",
properties: {
certificate: "${aws:acm:certificate:ssl-cert.arn}",
backend: "${opnsense:haproxy:backend:app-backend.id}"
}
}
]
};
}
}
```
### 5. AI-Powered Orchestration
```typescript
// src/ai/orchestrator.ts
export class AIOrchestrator {
constructor(
private deployer: UnifiedDeployer,
private patterns: PatternLibrary
) {}
async handleNaturalLanguage(request: string): Promise<string> {
// Parse intent
const intent = await this.parseIntent(request);
switch (intent.type) {
case 'deploy':
return await this.handleDeploy(intent);
case 'query':
return await this.handleQuery(intent);
case 'modify':
return await this.handleModify(intent);
case 'troubleshoot':
return await this.handleTroubleshoot(intent);
}
}
private async handleDeploy(intent: DeployIntent): Promise<string> {
// Example: "Deploy a WordPress site with high availability"
// 1. Identify the pattern
const pattern = this.identifyPattern(intent.description);
// 2. Extract parameters
const params = this.extractParameters(intent.description);
// 3. Generate deployment plan
const deployment = this.patterns.getPattern(pattern).generate(params);
// 4. Review with user
const review = this.generateReview(deployment);
// 5. Execute if approved
if (intent.autoApprove || await this.getApproval(review)) {
const result = await this.deployer.deploy(deployment);
return this.formatDeploymentResult(result);
}
return review;
}
}
```
## Usage Examples
### 1. Simple Cross-MCP Deployment
```javascript
// Claude understands: "Set up a dev environment for our Node.js app"
const result = await orchestrator.deploy({
resources: [
// OPNSense: Create isolated network
{
server: "opnsense",
type: "network:vlan",
name: "dev-network",
properties: { tag: 50 }
},
// Docker: PostgreSQL database
{
server: "docker",
type: "container:run",
name: "dev-db",
properties: {
image: "postgres:15",
network: "${opnsense:network:vlan:dev-network.name}"
}
},
// Docker: Redis cache
{
server: "docker",
type: "container:run",
name: "dev-cache",
properties: {
image: "redis:7",
network: "${opnsense:network:vlan:dev-network.name}"
}
}
]
});
```
### 2. Complex Production Deployment
```javascript
// Claude understands: "Deploy our e-commerce platform with PCI compliance"
const result = await orchestrator.deployPattern("pci-compliant-ecommerce", {
appName: "store",
domain: "shop.example.com",
paymentProcessor: "stripe",
databases: ["postgres", "redis"],
monitoring: true,
backup: {
enabled: true,
schedule: "0 2 * * *",
retention: 30
}
});
```
### 3. Disaster Recovery
```javascript
// Claude understands: "Failover the production site to DR region"
const result = await orchestrator.executeRunbook("disaster-recovery", {
sourceRegion: "us-east-1",
targetRegion: "us-west-2",
services: ["web", "api", "database"],
dnsUpdate: true
});
```
## Implementation Timeline
1. **Week 1-2**: Build MCP registry and discovery
2. **Week 3-4**: Implement cross-MCP reference resolution
3. **Week 5-6**: Create deployment patterns
4. **Week 7-8**: Add AI orchestration layer
5. **Week 9-10**: Build monitoring and rollback
6. **Week 11-12**: Production hardening and testing
This creates your Pulumi/SST-like experience with GenAI!