Awsmux – Multi-account AWS CLI, up to 5.4x faster, 7.4x fewer tokens
awsmux fans one AWS CLI command out across hundreds of accounts and regions in parallel and merges the results into a single stream. There's an MCP server built in for agents. In a 150-session benchmark, agents using awsmux beat agents using the raw AWS CLI in every test: up to 5.4x faster, up to 2.9x cheaper, up to 7.4x fewer tokens. Single Go binary, stdlib plus cobra only. Feedback welcome.
In plain words
Awsmux is a command-line tool that runs AWS CLI commands across hundreds of accounts and regions simultaneously, then consolidates the results. It includes a built-in Model Context Protocol server for AI agents. The tool is distributed as a single Go binary and is designed for developers and infrastructure teams managing multi-account AWS environments who need faster query execution and reduced computational overhead.
written from the facts on this page · September 2026
Does the same job
all alternatives →- MOMcp2cli – One CLI for every API, 96-99% fewer tokens than native MCPMar 2026 · github.com · ▲146
Every MCP server injects its full tool schemas into context on every turn — 30 tools costs ~3,600 tokens/turn whether the model uses them or not. Over 25 turns with 120 tools, that's 362,000 tokens just for schemas. mcp2cli turns any MCP server or OpenAPI spec into a CLI at runtime. The LLM discovers tools on demand: mcp2cli --mcp https://mcp.example.com/sse --list # ~16 tokens/tool mcp2cli --mcp https://mcp.example.com/sse create-task --help # ~120 tokens, once mcp2cli --mcp https://mcp.example.com/sse create-task --title "Fix bug" No…
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Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's…
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I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…
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