Mcp2cli – One CLI for every API, 96-99% fewer tokens than native MCP
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…
Mcp2cli – One CLI for every API, 96-99% fewer tokens than native MCP launched on March 9, 2026 with 146 votes, #248 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Mcp2cli converts MCP servers and OpenAPI specifications into command-line interfaces that language models can call on demand. Instead of loading full tool schemas into context for every interaction, the LLM discovers and uses tools through CLI commands, reducing token overhead by 96-99%. It works with any language model and requires no code generation or rebuilds when servers change, supporting both local and remote API specifications.
written from the facts on this page · September 2026
From the sources
Turn any MCP, OpenAPI, or GraphQL server into a CLI — at runtime, with zero codegen - knowsuchagency/mcp2cli
In the maker’s words, at launch
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…
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