mcp-agent vs openai-agents-js
Python and TypeScript frameworks for building LLM agents
mcp-agent and openai-agents-js both help developers build LLM agents that use tools and coordinate multi-step work. mcp-agent centers on MCP integrations and composable workflows, while openai-agents-js offers a broader JavaScript and TypeScript toolkit including sandboxed tasks and realtime voice interactions.
mcp-agent: Build Agents with Model Context Protocol
A Python framework for building LLM agents around Model Context Protocol servers and composable workflow patterns. It suits developers who need MCP integrations, multi-agent workflows, or durable execution with Temporal.
openai-agents-js: Build Multi-Agent and Voice Workflows
A TypeScript SDK for building LLM agents that use tools, delegate work, and manage conversations. It also supports sandboxed tasks and low-latency voice agents, making it useful for teams building more than a single prompt-and-response flow.
| mcp-agent | openai-agents-js | |
|---|---|---|
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Stars | 8.6k | 3.9k |
| Forks | 893 | 987 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- mcp-agent is a Python framework; openai-agents-js is a TypeScript SDK, with support for Node.js, Deno, and Bun.
- mcp-agent emphasizes MCP server connections and reusable workflow patterns such as routers and map-reduce; openai-agents-js emphasizes tools, handoffs, guardrails, sessions, and tracing.
- mcp-agent offers asyncio execution and Temporal-backed durable workflows; openai-agents-js includes sandbox agents and browser-based realtime voice interactions.
- mcp-agent uses an Apache-2.0 license, while openai-agents-js uses an MIT license.
- mcp-agent describes cloud deployment as beta and uses its cloud service; openai-agents-js notes experimental Cloudflare Workers support and platform-specific sandbox guidance.
- mcp-agent lists 8.6k stars and 893 forks; openai-agents-js lists 3.9k stars and 987 forks. Both are unarchived.
Choose mcp-agent if you…
- need MCP server connections and composable agent workflows in Python.
- want Temporal-backed durable execution or the option to expose an application as an MCP server.
- prefer an Apache-2.0 licensed project.
Choose openai-agents-js if you…
- build agent features in a JavaScript or TypeScript application.
- need sandboxed tasks, browser-based realtime voice interactions, or conversation sessions.
- want guardrails, human involvement, and tracing around agent runs.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.