Deploy MCP Servers in Minutes.
Connect your repo, Docker image, or package. AI handles the setup, scaling, and monitoring.

How It Works
Streamlined deployment in seconds.

Connect
Sign up quickly with GitHub or Google.

Deploy
Utilize our streamlined options and experience unmatched deployment ease.

Run & Monitor
Real-time status and logs to monitor servers.
Key Features
All-in-one platform for MCP server management.
All-in-one platform for MCP server management.
Three Deployment Flows
Connect a GitHub repo, provide a Docker image, or drop in a package URL — your choice, same seamless experience.
Stateful & Stateless Native
Purpose-built for MCP servers with persistent connections and context. Seamless storage configuration and state management.
90-Second Deployments
From idea to production in under 90 seconds. Sign in, configure, deploy - transform weeks of DevOps into a one-click workflow.
Real-time Monitoring
Comprehensive dashboard for managing deployments, streaming logs, performance metrics, and tool management across all environments.
Streamlining Container Orchestration
Built on Kubernetes but abstracts all complexity. No DevOps expertise required - focus on building AI agents, not infrastructure.
Token-based Authentication
Enterprise-grade security with Bearer token authentication, secure API access, and compliance-ready infrastructure hardening.
Who It's For
Purpose-built for AI engineers, developers, and teams who need to deploy and scale MCP servers without managing infrastructure.
AI & Agent Developers
Build, deploy, and scale intelligent or context-aware agents in minutes. Focus on innovation — MCP Lambda automates the rest.
Tooling & Platform Teams
Expose APIs and microservices directly to LLMs. Simplify integration and ship managed endpoints with zero DevOps effort.
AI Startups & ML Ops
Launch production-ready environments without heavy ops. Perfect for fast-moving teams needing reliable, cost-efficient infrastructure.
Ready to deploy smarter?
Frequently Asked Questions
Everything you need to know about using MCPLambda