Quickly deploy MCP servers with a streamlined workflow.

Deploy MCP servers without the infrastructure headache.

Connect your repo, Docker image, or package. We handle the setup, scaling, and monitoring.

MCPLambda Dashboard showing deployments

How It Works

Streamlined deployment in seconds.

Connect

Connect

Sign up quickly with GitHub or Google.

Deploy

Deploy

Utilize our streamlined options and experience unmatched deployment ease.

Run & Monitor

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.

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Three Deployment Flows

Connect a GitHub repo, provide a Docker image, or drop in a package URL β€” your choice, same seamless experience.

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Stateful & Stateless Native

Purpose-built for MCP servers with persistent connections and context. Seamless storage configuration and state management.

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90-Second Deployments

From idea to production in under 90 seconds. Sign in, configure, deploy β€” transform weeks of DevOps into a one-click workflow.

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Real-time Monitoring

Comprehensive dashboard for managing deployments, streaming logs, performance metrics, and tool management across all environments.

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Streamlining Container Orchestration

Built on Kubernetes but abstracts all complexity. No DevOps expertise required β€” focus on building AI agents, not infrastructure.

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Secure by Default with ToolHive

Every MCP server runs on ToolHive in an isolated container with minimal permissions, network access filtering, and encrypted secrets β€” Bearer token auth and an SSE proxy keep container ports off the public network.

Who It's For

Purpose-built for AI engineers, developers, and teams who need to deploy and scale MCP servers without managing infrastructure.

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AI & Agent Developers

Build, deploy, and scale intelligent or context-aware agents in minutes. Focus on innovation β€” MCP Lambda automates the rest.

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Tooling & Platform Teams

Expose APIs and microservices directly to LLMs. Simplify integration and ship managed endpoints with zero DevOps effort.

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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?

FAQs

Frequently Asked Questions

Everything you need to know about using MCPLambda

  • What is MCP Lambda?

    MCP Lambda is a Platform-as-a-Service for AI agent infrastructure. It lets you deploy and manage MCP servers β€” via Docker image or package β€” without managing servers yourself.

  • Do I need DevOps experience to use MCP Lambda?

    No, MCP Lambda is designed to abstract away all DevOps complexity. You can deploy and manage MCP servers without any DevOps expertise.

  • How long does a typical deployment take?

    Most deployments complete in under 90 seconds. From sign-in to a running server, the entire process is streamlined for speed.

  • Which deployment methods are supported?

    We support three deployment methods: GitHub repository integration, Docker image deployment, and package URL deployment.

  • How do I monitor or troubleshoot my servers?

    Our comprehensive dashboard provides real-time logs, performance metrics, and monitoring tools to help you track and troubleshoot your deployments.

  • How secure is MCP Lambda?

    Under the hood we run every MCP server on ToolHive, which wraps each server in an isolated container with minimal permissions, network access filtering, and built-in encrypted secrets management. Combined with Bearer token authentication and an SSE proxy that never exposes container ports directly, this gives you hardened, audit-ready isolation out of the box.

  • Can I integrate with my existing GitHub or Google account?

    Yes, you can sign up and authenticate using your existing GitHub or Google account for seamless integration.