Can someone please explain how one would tell LLM to use such a CLI over a natively supported MCP server? Do you need to add the info about CLI into persistent memory(ex. AGENTS.md) and run an mcp server manually? Or it is something else?
A simple prompt that tells the agent how to use gh cli to use GitHub using —help commands makes the agent start learning how to use a specific cli and just use it.
This method was popularised by beads with a simple command “bd quickstart” to teach the basics to an agent. Think of this as an adaptive learning method for the agent.
I’ve not seen the details of mcp2cli, but let’s just say you had a mcp2cli wrapper over stripe, you can just tell the agent to run mcp2cli for stripe as a provider to learn how to use the rest of the APIs
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Can someone please explain how one would tell LLM to use such a CLI over a natively supported MCP server? Do you need to add the info about CLI into persistent memory(ex. AGENTS.md) and run an mcp server manually? Or it is something else?
A simple prompt that tells the agent how to use gh cli to use GitHub using —help commands makes the agent start learning how to use a specific cli and just use it.
This method was popularised by beads with a simple command “bd quickstart” to teach the basics to an agent. Think of this as an adaptive learning method for the agent.
I’ve not seen the details of mcp2cli, but let’s just say you had a mcp2cli wrapper over stripe, you can just tell the agent to run mcp2cli for stripe as a provider to learn how to use the rest of the APIs