mcp2cli

There's already an open source tool that does exactly the same thing: https://github.com/knowsuchagency/mcp2cli

Cool, adding this to my list of MCP CLIs: - https://github.com/apify/mcpc - https://github.com/chrishayuk/mcp-cli - https://github.com/wong2/mcp-cli - https://github.com/f/mcptools - https://github.com/adhikasp/mcp-client-cli - https://github.com/thellimist/clihub - https://github.com/EstebanForge/mcp-cli-ent - https://github.com/knowsuchagency/mcp2cli - https://github.com/philschmid/mcp-cli - https://github.com/steipete/mcporter - https://github.com/mattzcarey/cloudflare-mcp - https://github.com/assimelha/cmcp

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 codegen, no rebuild when the server changes. Works with any LLM — it's just a CLI the model shells out to. Also handles OpenAPI specs (JSON/YAML, local or remote) with the same interface. Token savings are real, measured with cl100k_base: 96% for 30 tools over 15 turns, 99% for 120