OpenHuman vs MCP TypeScript SDK
Side-by-side comparison of two AI agent tools
Short answer
- OpenHuman is growing faster: +3,180 GitHub stars in the last 30 days vs +237 for MCP TypeScript SDK.
- Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness. Pick MCP TypeScript SDK for: the official TypeScript SDK for Model Context Protocol servers and clients.
From GitHub data refreshed daily.
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
The official TypeScript SDK for Model Context Protocol servers and clients
Metrics
| OpenHuman | MCP TypeScript SDK | |
|---|---|---|
| Stars | 40.4k | 13.5k |
| Star velocity /mo | 3.2k | 236.5079365079365 |
| Commits (90d) | 22.6k | 84 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9408550749378012 | 0.7112787190833832 |
Pros
- +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
- -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
- •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, OpenHuman or MCP TypeScript SDK?
- OpenHuman has more GitHub stars (40,447 vs 13,501).
- Which is more actively developed, OpenHuman or MCP TypeScript SDK?
- OpenHuman had more commits in the last 90 days (22,600 vs 84).
- Should I use OpenHuman 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.