MCP Production Deployment
Complete guide to deploying Model Context Protocol applications in production environments. Learn best practices, performance optimization, and enterprise-grade deployment strategies.
🚀 Production Runtime
Agent runtime, parallel execution, and performance optimization for production workloads.
🔧 Infrastructure
Deployment strategies, scaling, monitoring, and production-grade infrastructure setup.
📊 Observability
Logging, monitoring, error handling, and debugging in production environments.
Production Deployment Articles
We Got Tired of LLMs Getting LeanMCP Wrong. So We Built Our Own Agent
It took 2 hours. It runs on our own platform. And it knows our docs better than ChatGPT.
WebMCP Solves Deployment. It Doesn't Solve Governance.
WebMCP shipped in Chrome 146 Canary two weeks ago. For deployment and authentication, the problem is largely solved. For governance and observability, the problem is just beginning.
MCP Apps: AI Agents Just Became Applications
MCP Apps (SEP-1865) is the open standard that lets AI agents render interactive UIs inside the conversation. Cross-platform, backed by Anthropic and OpenAI, live in Claude and ChatGPT today.
GPT Apps Are Here - Here's How to Build One in Production
OpenAI just opened the ChatGPT App Directory. If you're building with MCP, you're closer than you think. Here's everything you need to ship a GPT App that actually scales.
LeanMCP: Run AI Agents in Production. Own Your Stack.
Open-Source Agent Runtime. Production-Grade Governance. Zero Vendor Lock-in. Getting an AI agent to work is easy. Getting it to production is a different story.
Announcing the LeanMCP Track Winners at NexHacks Carnegie Mellon!
Three outstanding projects demonstrated creative applications of LeanMCP - pushing the boundaries of context-efficient tool calling, semantic code understanding, and agentic AI systems.
TypeScript SDK for Building MCP Servers with type-safe decorators and streamable HTTP support
In 2025, MCP has matured as the open standard for connecting AI agents to external tools. LeanMCP SDK addresses production gaps with TypeScript decorators, compile-time safety, and zero-boilerplate deployment.
Launching Agent Runtime: Parallel MCP at Scale
AI agents need to make hundreds of MCP calls. Doing them sequentially is slow. Agent Runtime parallelizes everything. Here's how it works.
MCP vs Claude Skills: Infrastructure vs Instructions
MCP is production-grade infrastructure with real security and reliability. Claude Skills? Glorified RAG with Markdown files. Here's when you need each.
Releasing LeanMCP SDK
Introducing the LeanMCP SDK - built to solve the framework gap in MCP development with best practices, built-in tools, and seamless agent integration.
Quick Start: Deploy to Production
1. Install LeanMCP SDK
npm install -g @leanmcp/cli2. Create Production Project
leanmcp create my-production-agent3. Configure for Production
Set up authentication, observability, and scaling configuration
4. Deploy
Deploy to your preferred platform or use LeanMCP's managed hosting
