🏢 Enterprise MCP Framework

Production-grade security, observability, and governance for Model Context Protocol (MCP) servers

Make any MCP server enterprise-ready in minutes with built-in authentication, RBAC, audit logging, compliance templates, cost management, and observability.

🎯 The Problem

MCP servers are powerful but lack enterprise features needed for production:

❌ No authentication or authorization
❌ No observability (metrics, tracing, logs)
❌ No governance (approvals, audit logs)
❌ No compliance support (SOX, HIPAA, GDPR)
❌ No cost management or rate limiting

Enterprise MCP Framework solves all of this.

✨ Features

🔒 Security

Authentication: OAuth, SAML, API Keys, LDAP
Authorization: Role-Based Access Control (RBAC)
Encryption: TLS in-transit + at-rest encryption
Secrets Management: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault

📊 Observability

Metrics: Prometheus-compatible metrics
Tracing: OpenTelemetry distributed tracing
Logging: Structured JSON logging
Dashboards: Pre-built Grafana dashboards

⚖️ Governance

Approvals: Slack, Jira, Email workflows
Audit Logs: Comprehensive audit trails
Policies: Open Policy Agent (OPA) integration
Compliance: SOX, HIPAA, GDPR templates

💰 Cost Management

Tracking: Token usage and API call tracking
Limits: Rate limiting and quotas per user/team
Budgets: Budget alerts and cost allocation
Reports: Chargeback and showback reports

🚀 Quick Start (5 Minutes)

Install

pip install enterprise-mcp-framework

Wrap Any MCP Server

Before (Basic PostgreSQL MCP):

from mcp_postgres import PostgresServer

server = PostgresServer(host="localhost", database="mydb")
server.start()

After (Enterprise Features):

from enterprise_mcp import EnterpriseProxy, SecurityConfig, ObservabilityConfig

proxy = EnterpriseProxy(
    target_server="postgresql-mcp",
    security=SecurityConfig(
        auth_provider="oauth",
        rbac_enabled=True
    ),
    observability=ObservabilityConfig(
        metrics=True,
        tracing=True
    )
)

proxy.start()  # ✅ Now with auth, metrics, audit logs, etc.

📖 How It Works

Enterprise MCP Framework acts as a transparent proxy between LLM applications and MCP servers:

┌──────────────────┐
│  LLM Application │  (Claude, ChatGPT, etc.)
└────────┬─────────┘
         │ MCP Protocol
         ↓
┌────────────────────────────────┐
│  Enterprise MCP Framework      │
│  ┌──────────────────────────┐  │
│  │  Security Layer          │  │  ← Auth, RBAC, Encryption
│  ├──────────────────────────┤  │
│  │  Observability Layer     │  │  ← Metrics, Tracing, Logs
│  ├──────────────────────────┤  │
│  │  Governance Layer        │  │  ← Approvals, Audit, Policies
│  ├──────────────────────────┤  │
│  │  Cost Management Layer   │  │  ← Tracking, Limits, Budgets
│  └──────────────────────────┘  │
└────────┬───────────────────────┘
         │ MCP Protocol
         ↓
┌────────────────────┐
│  Any MCP Server    │  (PostgreSQL, AWS, Slack, etc.)
└────────────────────┘

Key Benefits:

✅ Zero Code Changes: Wrap existing MCP servers
✅ Policy-Based: Configure via YAML, no coding
✅ Production-Ready: Battle-tested enterprise patterns
✅ Observable: See everything that happens
✅ Compliant: Meet regulatory requirements

🏗️ Architecture

Core Components

Proxy Server: Intercepts MCP protocol requests/responses
Middleware Chain: Security → Observability → Governance → Cost
Configuration Engine: YAML-based configuration
Policy Engine: Open Policy Agent for authorization
Metrics Exporter: Prometheus-compatible metrics
Audit Logger: Structured audit trail storage

📚 Use Cases

1. Secure Database Access

# PostgreSQL with SOX compliance
proxy = EnterpriseProxy(
    target_server="postgresql-mcp",
    governance=GovernanceConfig(
        compliance="sox",
        audit_retention_days=2555,  # 7 years
        approval_required_for=["DELETE", "DROP"]
    )
)

2. Multi-Tenant SaaS

# Isolate tenants with RBAC
proxy = EnterpriseProxy(
    target_server="slack-mcp",
    security=SecurityConfig(
        rbac_enabled=True,
        tenant_isolation=True
    ),
    cost_management=CostConfig(
        per_tenant_limits=True
    )
)

3. Cloud Operations with Approvals

# AWS operations require approval
proxy = EnterpriseProxy(
    target_server="aws-mcp",
    governance=GovernanceConfig(
        approvals=[{
            "operations": ["ec2.terminate", "s3.delete"],
            "approvers": ["slack:#ops-team"],
            "required": 2
        }]
    )
)

🔧 Configuration

Security Configuration

# config/security.yaml
authentication:
  providers:
    - type: oauth
      provider: okta
      client_id: ${OKTA_CLIENT_ID}
    - type: api_key
      header: X-API-Key

authorization:
  rbac:
    enabled: true
    roles:
      - name: admin
        permissions: ["*"]
      - name: developer
        permissions: ["read", "execute"]
      - name: viewer
        permissions: ["read"]

encryption:
  tls:
    enabled: true
    cert: /etc/certs/server.crt
  at_rest:
    provider: aws_kms
    key_id: ${KMS_KEY_ID}

Observability Configuration

# config/observability.yaml
metrics:
  enabled: true
  port: 9090
  path: /metrics

tracing:
  enabled: true
  provider: opentelemetry
  endpoint: http://jaeger:14268/api/traces

logging:
  level: info
  format: json
  output: stdout

Governance Configuration

# config/governance.yaml
approvals:
  - name: high_risk_operations
    conditions:
      operations: ["database.delete", "aws.ec2.terminate"]
    approvers:
      - slack: "#dba-approvals"
      - email: "dba-team@company.com"
    timeout: 3600  # 1 hour
    required_approvals: 2

audit:
  enabled: true
  storage: postgresql
  retention_days: 2555  # 7 years for SOX

compliance:
  templates:
    - sox
    - hipaa

📊 Observability

Metrics Exposed

# Request metrics
mcp_requests_total{server,operation,status}
mcp_request_duration_seconds{server,operation}
mcp_errors_total{server,operation,error_type}

# Cost metrics
mcp_token_usage_total{server,user,operation}
mcp_cost_usd{server,user}

# Governance metrics
mcp_approvals_pending{operation}
mcp_approvals_approved{operation}
mcp_approvals_rejected{operation}

Grafana Dashboards

Pre-built dashboards included:

Overview: Request rates, error rates, latency
Security: Auth attempts, RBAC decisions, encryption status
Cost: Token usage, cost per user, budget alerts
Governance: Approval workflows, audit trail, policy violations

OpenTelemetry Integration

Export telemetry to enterprise observability platforms:

Jaeger (Open Source):

from agent_monitor.exporters import OpenTelemetryExporter, create_jaeger_config

config = create_jaeger_config(service_name="mcp-server")
exporter = OpenTelemetryExporter(config)
exporter.start()

Datadog (Commercial):

from agent_monitor.exporters import create_datadog_config

config = create_datadog_config(
    service_name="mcp-server",
    api_key=os.getenv("DD_API_KEY")
)
exporter = OpenTelemetryExporter(config)
exporter.start()

New Relic (Commercial):

from agent_monitor.exporters import create_newrelic_config

config = create_newrelic_config(
    service_name="mcp-server",
    api_key=os.getenv("NEW_RELIC_API_KEY")
)
exporter = OpenTelemetryExporter(config)
exporter.start()

Supported Platforms:

✅ Jaeger (open-source distributed tracing)
✅ Datadog (full-stack APM)
✅ New Relic (full-stack observability)
✅ Grafana Cloud
✅ Prometheus
✅ AWS X-Ray
✅ Google Cloud Trace

View Integration Examples →

🚢 Deployment

Docker

docker run -d \
  -p 8080:8080 \
  -p 9090:9090 \
  -v $(pwd)/config:/config \
  cogniolab/enterprise-mcp-framework

Kubernetes

helm repo add enterprise-mcp https://charts.cogniolab.com
helm install my-mcp enterprise-mcp/framework \
  --set security.auth.provider=oauth \
  --set observability.metrics.enabled=true

Docker Compose

version: '3.8'
services:
  mcp-proxy:
    image: cogniolab/enterprise-mcp-framework
    ports:
      - "8080:8080"
      - "9090:9090"
    volumes:
      - ./config:/config
    environment:
      - AUTH_PROVIDER=oauth
      - METRICS_ENABLED=true

🏅 Compliance

SOX Compliance

✅ 7-year audit retention
✅ Change approvals required
✅ Segregation of duties
✅ Access controls and logging

HIPAA Compliance

✅ PHI encryption at rest and in transit
✅ Access logs and audit trails
✅ Role-based access control
✅ Data retention policies

GDPR Compliance

✅ Data access logging
✅ Right to erasure support
✅ Consent management
✅ Data portability

📈 Performance

Overhead: < 5ms latency added by framework Throughput: 10,000+ requests/second per instance Scalability: Horizontal scaling with load balancers Availability: 99.99% uptime with HA setup

💬 Community

Join our community to ask questions, share ideas, and connect with other developers building enterprise MCP systems!

GitHub Discussions - Ask questions, share your work, and discuss best practices
GitHub Issues - Bug reports and feature requests
Email: dev@cogniolab.com

We're building a supportive community where developers help each other make MCP production-ready for enterprises. Whether you're just getting started or scaling to production, your questions and contributions are welcome!

🤝 Enterprise Support

For production deployments and enterprise requirements:

📧 Email: enterprise@cogniolab.com
📝 Consulting: Custom integrations and training
💼 SLA: Priority support with guaranteed response times

📚 Documentation

🌟 Examples

Explore examples/ for:

GitHub MCP: Repository management with RBAC and approvals
Jira MCP: Ticket management with SOX compliance
Notion MCP: Knowledge management with GDPR compliance
OpenTelemetry Integration: Export to Jaeger, Datadog, New Relic
Multi-Tenant: SaaS deployment patterns

View All Examples →

🔗 Related Projects

📜 License

MIT License - see LICENSE

🙏 Acknowledgments

Built by Cognio AI Lab to make MCP production-ready for enterprises.

Special thanks to:

Anthropic for creating MCP
The open-source community
Early adopters and contributors

Ready to make your MCP servers enterprise-ready? Get Started →

enterprise-mcp-framework

🏢 Enterprise MCP Framework

🎯 The Problem

✨ Features

🔒 Security

📊 Observability

⚖️ Governance

💰 Cost Management

🚀 Quick Start (5 Minutes)

Install

Wrap Any MCP Server

📖 How It Works

🏗️ Architecture

Core Components

📚 Use Cases

1. Secure Database Access

2. Multi-Tenant SaaS

3. Cloud Operations with Approvals

🔧 Configuration

Security Configuration

Observability Configuration

Governance Configuration

📊 Observability

Metrics Exposed

Grafana Dashboards

OpenTelemetry Integration

🚢 Deployment

Docker

Kubernetes

Docker Compose

🏅 Compliance

SOX Compliance

HIPAA Compliance

GDPR Compliance

📈 Performance

💬 Community

🤝 Enterprise Support

📚 Documentation

🌟 Examples

🔗 Related Projects

📜 License

🙏 Acknowledgments

Reviews