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LeanMCP

LeanMCP provides a production‑grade framework for building, deploying, and monitoring AI agents using the Model Context Protocol (MCP). Its open‑source TypeScript SDK offers type‑safe decorators and tool integration, while the managed edge platform handles global deployment, SSL, OAuth, rate limiting, and built‑in observability such as real‑time latency tracking, distributed tracing, and structured logging. The service routes all LLM provider calls through a single AI Gateway, delivering unified metrics and security controls for developers and enterprises scaling AI services.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Developers and organizations building AI agents often face fragmented tooling, complex deployment pipelines, and limited observability, making it difficult to move from prototype to production reliably and at scale.

Solution

LeanMCP offers a production‑grade framework for Model Context Protocol (MCP) servers that streamlines the entire lifecycle of AI agents. An open‑source TypeScript SDK provides type‑safe decorators and built‑in tool integration, while a managed edge platform handles deployment, SSL, global distribution, OAuth, rate limiting, and logging out of the box. The AI Gateway routes all LLM provider calls through a single endpoint, automatically adding real‑time latency tracking, token usage metrics, and tool‑call monitoring. Built‑in observability delivers structured request/response logs, distributed tracing, and a dashboard for live analytics. Flexible usage‑based pricing lets teams start for free and scale with traffic, with enterprise options for dedicated infrastructure and compliance features.

Target Audience

Primary customers are software developers and product teams building AI agents, as well as enterprises that require secure, observable, and scalable production infrastructure for AI services.

Features

  • Open‑source LeanMCP SDK with type‑safe decorators for exposing functions as MCP tools
  • One‑line integration with the AI Gateway to route any OpenAI‑compatible provider through LeanMCP
  • Managed edge deployment via CLI (`leanmcp deploy`) with automatic SSL, global CDN, and OAuth
  • Out‑of‑the‑box observability: real‑time tool call monitoring, latency tracking, distributed tracing, and structured logging
  • Rate limiting, user management, and security controls (SOC 2 Type II compliance, data encryption at rest and in transit)
  • Provider‑agnostic support for OpenAI, Anthropic, Google, Mistral, and other compatible APIs
  • Add‑ons such as dedicated IP addresses and extended log retention for compliance needs
This profile is AI-generated and may contain inaccuracies.