What is MCP and why does my enterprise need it?

MCP (Model Context Protocol) lets AI agents securely access your tools and data. If your teams use AI assistants, MCP servers connect those assistants to your CRM, databases, and workflows.

How long does enterprise MCP deployment take?

Growth (10 servers) takes 4-6 weeks. Professional (30 servers) takes 8-12 weeks. Enterprise with compliance takes 3-6 months.

Is MCP secure enough for enterprise?

Our deployments include OAuth2/JWT, role-based tool access, encrypted transport, audit logging, and rate limiting. SOC 2 ready.

What are ongoing infrastructure costs?

On our global edge network, enterprise MCP infrastructure costs $100-$500/month — a fraction of AWS or GCP.

Can MCP work with existing infrastructure?

Yes. MCP servers bridge to on-premise, AWS, GCP, Azure, or any HTTP-accessible service. We build connector layers that translate existing APIs into MCP-compatible tools.

Enterprise

Deploy MCP Across Your Organization — Secure, Compliant, Production-Ready

Deploy Model Context Protocol servers at enterprise scale — security, compliance, multi-team access, and production monitoring built in. Starting at $25,000.

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Enterprise MCP deployment costs $25,000 to $100,000+ depending on the number of tool integrations, security requirements, and team scale. This includes architecture design, security hardening, multi-tenant access control, CI/CD pipelines, monitoring, and 12 months of support.

Your MCP servers run on a global edge network — 90% lower infrastructure costs, zero cold starts, faster tool calls.

Why Enterprise

MCP at Scale Is Different From a Weekend Project

Security & Access Control

Role-based tool access, API key rotation, audit logging, and compliance-ready authentication. Not every agent should access every tool.

Multi-Team Infrastructure

Separate MCP environments for engineering, sales, support, and operations. Shared tool registry with per-team permissions and usage tracking.

Monitoring & Reliability

Real-time tool call monitoring, error tracking, performance metrics, and SLA enforcement. Know which tools fail before your teams report it.

Compliance & Audit

Complete audit trail of every tool call — who called what, when, and what data was accessed. SOC 2 and enterprise compliance ready.

CI/CD & Versioning

Automated deployment pipelines for MCP server updates. Versioned tool schemas, staged rollouts, and instant rollback when issues arise.

Cost Control

Per-team usage quotas, cost allocation, and spending alerts. MCP tool calls can get expensive at scale — guardrails are built in from day one.

Architecture

Enterprise MCP Architecture

Enterprise MCP deployments use a hub-and-spoke architecture:

MCP Gateway — Central authentication, routing, and rate limiting (edge compute + stateful edge computing)
Tool Registry — Edge SQL database with tool metadata, schemas, permissions, and version history
Team Namespaces — Isolated environments per team with independent tool configurations
Monitoring Layer — Real-time metrics, error tracking, and alerting via edge analytics
CI/CD Pipeline — Git-based deployments with automated testing and staged rollouts

The entire stack runs on a global edge network — no AWS, no GCP, no traditional infrastructure. This means sub-50ms tool calls globally and infrastructure costs that scale linearly with usage.

Pricing

Enterprise MCP Deployment Pricing

Growth

$25K–$40K

Up to 10 MCP servers, 3 teams, basic monitoring

MCP gateway + auth
Tool registry with versioning
Basic monitoring dashboard
6 months support included

Professional

$40K–$75K

Up to 30 MCP servers, unlimited teams, full monitoring

Multi-team namespaces
Role-based tool access
CI/CD pipeline
Audit logging
12 months support included

Enterprise

$75K–$100K+

Unlimited servers, custom compliance, dedicated support

SOC 2 / compliance setup
Custom SLA (99.9%+)
Dedicated support engineer
On-prem bridge available
24 months support included

FAQ

Enterprise MCP Deployment — FAQ

MCP is the standard protocol that lets AI agents securely interact with your tools and data. Without MCP, your AI assistants are siloed from your CRM, databases, and internal workflows.

Growth (up to 10 servers) takes 4-6 weeks. Professional (30 servers, multi-team) takes 8-12 weeks. Enterprise with compliance takes 3-6 months. Engagements start with a 1-week discovery to map your tools and security requirements.

Yes. Deployments include OAuth2/JWT auth, role-based tool access, encrypted transport, complete audit logging, and rate limiting. SOC 2-compliant setups are available.

On the edge network, infrastructure costs are $100–$500/month — a fraction of AWS/GCP. The runtime scales to zero, so you only pay for what you use.

Yes. MCP servers bridge to on-premise, AWS, GCP, Azure, or any HTTP-accessible service. Connector layers translate existing APIs into MCP-compatible tool schemas. See integration services →

Ready to Deploy MCP at Scale?

Schedule a 30-minute architecture review. Map your tools, teams, and requirements — then receive a detailed proposal within 48 hours.

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