Enterprise MCP Platform Implementation
Learn how ToolMesh (MCP Enterprise Registry & Intelligence Platform) integrates with your existing MCP infrastructure to provide centralized management, observability, and optimization.
Integration Steps
Deploy ToolMesh in your enterprise environment and use the admin dashboard to connect existing MCP servers and configure enhanced facade servers.
Deploy ToolMesh Platform
Install the enterprise platform in your internal infrastructure
# Deploy ToolMesh in your enterprise environment
# Options: On-premises, private cloud, or hybrid
docker-compose up -d toolmesh-platform
# or
kubectl apply -f toolmesh-k8s-manifests/
# Access admin dashboard
https://toolmesh.yourcompany.internal
Register MCP Servers
Platform teams use dashboard to connect existing MCP servers
# In ToolMesh Admin Dashboard:
# Navigate to "MCP Servers" > "Add New"
{
"name": "github-tools",
"type": "remote",
"url": "https://api.githubcopilot.com/mcp/",
"auth": {
"type": "bearer",
"token": "${GITHUB_PAT}"
},
"teams": ["ai-platform", "dev-tools"],
"applications": ["code-assistant", "review-bot"]
}
# Or for local/internal servers:
{
"name": "weather-tools",
"type": "http",
"url": "https://weather-mcp.internal/api/mcp",
"auth": {"type": "api-key", "key": "${API_KEY}"}
}
Configure Facade Servers
Create enhanced proxy servers with enterprise policies
# Configure facade server via dashboard
{
"facadeServer": {
"name": "unified-dev-tools",
"description": "Aggregated development tools for AI agents",
"endpoint": "https://toolmesh.internal/api/facade/unified-dev-tools",
"backendServers": [
{
"serverName": "github-tools",
"weight": 1.0,
"toolFilter": {
"include": ["get_*", "create_*", "list_*"],
"exclude": ["delete_*", "merge_pull_request"],
"rateLimits": {"per_user": "50/hour"}
}
},
{
"serverName": "weather-tools",
"weight": 1.0,
"toolFilter": {
"include": ["get_weather", "get_forecast"],
"exclude": ["admin_*"],
"rateLimits": {"per_user": "100/hour"}
}
},
{
"serverName": "database-tools",
"weight": 1.0,
"toolFilter": {
"include": ["query_*", "schema_*"],
"exclude": ["drop_*", "delete_*", "truncate_*"],
"readOnly": true
}
}
],
"enhancements": {
"caching": {
"enabled": true,
"strategies": {
"github-metadata": {"ttl": "10m"},
"weather-data": {"ttl": "5m"},
"db-schema": {"ttl": "1h"}
}
},
"observability": {
"metrics": true,
"tracing": true,
"usage_analytics": true
},
"governance": {
"global_rate_limit": "200/hour",
"access_control": "team-based",
"audit_logging": true,
"tool_approval_required": ["database-tools.*"]
}
}
}
}
Team Integration
Development teams connect to facade servers for enhanced capabilities
# Teams configure their MCP clients to use facade servers
# Single endpoint provides access to multiple backend servers
# For VS Code:
{
"mcpServers": {
"unified-dev-tools": {
"transport": {
"type": "http",
"url": "https://toolmesh.internal/api/facade/unified-dev-tools"
}
}
}
}
# For Claude Desktop:
{
"mcpServers": {
"unified-dev-tools": {
"transport": {
"type": "http",
"url": "https://toolmesh.internal/api/facade/unified-dev-tools"
}
}
}
}
# Teams get unified access to:
# - GitHub tools (read-only, safe operations)
# - Weather data (current conditions & forecasts)
# - Database tools (read-only queries & schema)
# - Intelligent caching per tool type
# - Unified rate limiting & governance
# - Single authentication & audit trail
Technical Architecture
Deep dive into the technical components that power Startly's MCP management capabilities.
Enterprise MCP Connector Layer
Internal platform that connects to your organization's existing MCP servers
- Deployed within enterprise infrastructure (on-prem or private cloud)
- Supports remote MCP servers (HTTP/HTTPS) and local servers (stdio/process)
- Compatible with all MCP SDK languages (TypeScript, Python, C#, Java, Kotlin, Ruby, Swift)
- Configurable via web dashboard with support for various authentication methods
Facade MCP Server Generation
Platform-managed proxy servers that aggregate and enhance multiple MCP servers
- Aggregate multiple backend MCP servers into unified endpoints
- Fine-grained tool filtering with include/exclude patterns per backend
- Per-server rate limiting, caching strategies, and access controls
- Maintain full MCP protocol compatibility with intelligent request routing
Enterprise Tool Registry
Centralized catalog of all MCP tools with metadata and governance
- Application-aware tool organization with inheritance and reusability
- Advanced search with filters by team, project, performance metrics
- Version control with rollback capabilities and comprehensive audit trails
- Fine-grained permission scoping and access control across organizational units
Intelligence & Analytics Engine
Comprehensive observability and benchmarking for AI tool performance
- Real-time usage analytics, success rates, latency tracking, and error monitoring
- Automated benchmarking, regression detection, and performance trending
- AI agent feedback collection with inefficiency identification and optimization suggestions
- Custom dashboards with drill-down capabilities and alerting workflows
Real-World Workflows
How different team roles interact with Startly in their daily workflows.
Platform Engineer Workflow
How platform engineers manage enterprise MCP infrastructure
Prompt Engineer Workflow
How prompt engineers discover and optimize AI tools
AI Product Manager Workflow
How AI PMs track tool usage and identify optimization opportunities
Data Flow Architecture
How data flows through Startly's system from MCP servers to dashboards and analytics.
Implementation Timeline
Typical timeline for deploying ToolMesh in your enterprise environment.
Week 1
Platform Deployment
Deploy ToolMesh platform in enterprise infrastructure (on-prem or private cloud)
Week 2
Server Registration
Platform teams register existing MCP servers via admin dashboard
Week 3
Facade Configuration
Configure enhanced facade servers with enterprise policies and observability
Week 4+
Team Onboarding
Development teams integrate with facade servers for enhanced capabilities
Ready to deploy ToolMesh?
Get started with enterprise deployment documentation or schedule an architecture review with our platform engineering team.