llm.ts vs MCP TypeScript SDK

Side-by-side comparison of two AI agent tools

Short answer

  • llm.ts has had no commit in 41 months; MCP TypeScript SDK is actively maintained (95 commits in the last 90 days).
  • MCP TypeScript SDK is growing faster: +236 GitHub stars in the last 30 days vs +-0 for llm.ts.
  • Pick llm.ts for: call any LLM with a single API. Pick MCP TypeScript SDK for: the official TypeScript SDK for Model Context Protocol servers and clients.

From GitHub data refreshed daily.

llm.tsopen-source

Call any LLM with a single API. Zero dependencies.

The official TypeScript SDK for Model Context Protocol servers and clients

Metrics

llm.tsMCP TypeScript SDK
Stars21313.5k
Star velocity /mo-0.15789473684210523235.7368421052632
Commits (90d)095
Releases (6m)010
Downloads (30d, npm + PyPI)—16
Overall score0.125762278776289480.697522628686739

Pros

  • +Unified API that abstracts complexity across 30+ models from multiple providers (OpenAI, Cohere, HuggingFace)
  • +Extremely lightweight with zero dependencies and under 10kB minified size, suitable for any environment
  • +Batch processing capability to send multiple prompts to multiple models in a single request with standardized response format
  • +Official SDK with comprehensive server and client libraries supporting multiple runtimes (Node.js, Bun, Deno)
  • +Includes middleware packages for popular frameworks (Express, Hono) enabling easy integration
  • +Strong community adoption with 12,000+ GitHub stars and active development

Cons

  • -Requires managing API keys for each provider separately, increasing configuration complexity
  • -Limited to older generation models with no apparent support for newer models like GPT-4 or Claude 3
  • -No streaming support mentioned, which may limit real-time applications
  • -Version 2 is currently in pre-alpha development, making it unstable for production use
  • -Requires peer dependency on Zod v4 for schema validation, adding complexity to setup
  • -May be over-engineered for simple context provision scenarios that don't need full MCP protocol

Use Cases

  • •A/B testing and benchmarking different LLMs with identical prompts to compare output quality and characteristics
  • •Building LLM comparison tools or research platforms that need to evaluate multiple models simultaneously
  • •Prototyping applications that require provider flexibility without committing to a single LLM vendor
  • •Building MCP servers that provide tools, resources, and prompts to LLM applications
  • •Creating MCP clients that consume standardized context from various servers
  • •Integrating MCP capabilities into existing Express or Hono web applications

FAQ

Which is more popular, llm.ts or MCP TypeScript SDK?
MCP TypeScript SDK has more GitHub stars (13,504 vs 213).
Which is more actively developed, llm.ts or MCP TypeScript SDK?
MCP TypeScript SDK had more commits in the last 90 days (95 vs 0).
Should I use llm.ts or MCP TypeScript SDK?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.