Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations
View on GitHub ↗Your agent, meet your tools and context.
Teach any AI agent how you use the tools it connects to — safely, in one command.
Agents are great at code. They get lost inside your tools — they don't know which of a hundred actions matter, how your data connects, or what's safe to touch. So they guess, or they freeze.
DiscoMCP fixes that. Point it at any MCP server and it hands your agent a skill for how you use it — not a generic tool list, but your workflows on your data: the views, tables and records you actually work with, the sequences that answer your real questions, and how one result leads into the next. Learned by looking at your own workspace, and without ever changing a thing.
A tool catalogue tells an agent the server has 90 actions. DiscoMCP tells it the five you actually use, in the order you use them, against the data that's really there.
--- --- 🎯 Tailored to how you work Not a generic capability dump — a profile of your usage: your workflows, your conventions, the parts of your workspace that matter, grounded in what's really in your data. 🧭 Agents that know their way around Your agent follows the sequences that answer real questions and chains one result into the next, instead of guessing across a hundred tools. 🔒 Read-only, guaranteed Exploring can never write. It runs a step only when it can prove that step is a read. Nothing is deleted or modified while it learns. ⚡ One command, zero setup A single 8 MB binary. No runtime, no toolchain — npx and you're running.
From the project README.
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