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.ts | MCP TypeScript SDK | |
|---|---|---|
| Stars | 213 | 13.5k |
| Star velocity /mo | -0.15789473684210523 | 235.7368421052632 |
| Commits (90d) | 0 | 95 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 16 |
| Overall score | 0.12576227877628948 | 0.697522628686739 |
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.