You don't need an MCP server. A Markdown file is enough

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Connect AI agents like Claude Code, Cursor, and Codex to 3,100+ apps through the MindCloud Universal API. One skill file teaches your agent to discover apps, read action schemas, and run actions.<br>Your AI agent can use the Universal API on its own. It needs two things: a MindCloud API key and instructions.

Skills

We publish the instructions as an agent skill, one markdown file that teaches the whole loop: find an app, list its actions, read a schema, resolve IDs by name, run the action. Follow these steps to use it in your favorite agent:

Create your MindCloud account, then create a key in API Keys and export it where your agent runs:

export MINDCLOUD_API_KEY=your_key_here

A read_only key lets the agent browse apps and action schemas. A run_workflows key also lets it resolve lookups and run actions.

Install the MindCloud skill:

npx skills add https://mindcloud.co/skills/SKILL.md

You can read the skill first if you want to see what your agent will follow.

Ask your agent for something real:

Ask me which apps I use at work, then show me what you can do with them through MindCloud.

The agent matches your tools against the 3,100+ supported apps, checks which ones you already connected, and pulls real data from those. For the rest it sends you to the connections page. From there, ask for anything: pull records, cross-reference two apps, or send a Slack message.

More for machines

MindCloud API skill covers the account side: workflows, runs, connections, members, and usage.

OpenAPI spec describes every v2 endpoint and needs no key to fetch.

llms.txt orients a model on MindCloud as a whole.

Browse apps has a reference page for every app, with arguments and examples per action.

On this page<br>Skills<br>More for machines

Copy as markdown<br>Ask ChatGPT<br>Ask Claude

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