Connect
Sign up quickly with GitHub or Google.
Connect your repo, Docker image, or package. We handle the setup, scaling, and monitoring.
Streamlined deployment in seconds.
Sign up quickly with GitHub or Google.
Utilize our streamlined options and experience unmatched deployment ease.
Real-time status and logs to monitor servers.
All-in-one platform for MCP server management.
All-in-one platform for MCP server management.
Connect a GitHub repo, provide a Docker image, or drop in a package URL β your choice, same seamless experience.
Purpose-built for MCP servers with persistent connections and context. Seamless storage configuration and state management.
From idea to production in under 90 seconds. Sign in, configure, deploy β transform weeks of DevOps into a one-click workflow.
Comprehensive dashboard for managing deployments, streaming logs, performance metrics, and tool management across all environments.
Built on Kubernetes but abstracts all complexity. No DevOps expertise required β focus on building AI agents, not infrastructure.
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.
Purpose-built for AI engineers, developers, and teams who need to deploy and scale MCP servers without managing infrastructure.
Build, deploy, and scale intelligent or context-aware agents in minutes. Focus on innovation β MCP Lambda automates the rest.
Expose APIs and microservices directly to LLMs. Simplify integration and ship managed endpoints with zero DevOps effort.
Launch production-ready environments without heavy ops. Perfect for fast-moving teams needing reliable, cost-efficient infrastructure.
Everything you need to know about using MCPLambda
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.
No, MCP Lambda is designed to abstract away all DevOps complexity. You can deploy and manage MCP servers without any DevOps expertise.
Most deployments complete in under 90 seconds. From sign-in to a running server, the entire process is streamlined for speed.
We support three deployment methods: GitHub repository integration, Docker image deployment, and package URL deployment.
Our comprehensive dashboard provides real-time logs, performance metrics, and monitoring tools to help you track and troubleshoot your deployments.
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.
Yes, you can sign up and authenticate using your existing GitHub or Google account for seamless integration.