Server Profiles & Pricing

Understand Compute Units and how to size your MCP server.

MCPLambda uses a flexible resource model called Compute Units. Instead of limiting you to a fixed number of servers, we allocate a pool of compute units that you can distribute across your deployments.

Server Profiles

Every deployment is assigned a resource profile. Choose the one that best fits your server’s workload:

ProfileCPU LimitMemory LimitCompute Units
Small200m256Mi1 Unit
Medium500m512Mi2 Units
Large1 vCPU2Gi4 Units

Which profile should I choose?

  • Small: Ideal for lightweight utility servers, simple API connectors, or development environments.
  • Medium: Recommended for most production servers with moderate traffic or processing needs.
  • Large: Best for memory-intensive agents, data analysis servers, or high-concurrency workloads.

The Compute Unit Model

Your plan determines your total Included Units. You can deploy any combination of server profiles as long as their total units stay within your plan’s limit.

Example: Team Plan (10 Units) You could deploy:

  • 10 Small servers (10 x 1 = 10 units)
  • 5 Medium servers (5 x 2 = 10 units)
  • 2 Large servers and 2 Small servers (2 x 4 + 2 x 1 = 10 units)

Subscription Plans

Choose the plan that matches your project’s scale:

PlanPriceIncluded UnitsTeam SeatsProjects
Free$01 Unit1
Developer$15/mo3 UnitsUnlimited
Team$49/mo10 Units3Unlimited
Business$149/mo30 UnitsUnlimitedUnlimited
EnterpriseCustomUnlimitedUnlimitedUnlimited

Overages

If you need more units than your plan provides, MCPLambda offers flexible overage pricing based on your chosen server profile:

  • Small: $7/server/month
  • Medium: $15/server/month
  • Large: $40/server/month

Advanced Features

Our higher-tier plans (Team and above) also include access to advanced infrastructure features:

  • Autoscaling: Automatically scale replicas based on traffic (Starting from Medium servers).
  • Advanced Analytics: Detailed metrics on server performance and usage.
  • Priority Builds: Faster build times for GitOps and Package-based deployments.