# Connect Claude and other MCP clients to anfra Cloud

> Add anfra Cloud's MCP server URL to an AI client, authorize it for one organization, and it can search and query your semantic layer as you.

New in anfra Cloud · Nov 5, 2026 · [All release notes](https://anfra.ai/releases.md)

Copy your MCP server URL from Settings → Connections and add it to an MCP client such as Claude or Cursor:

```
https://us.anfra.ai/mcp
```

The client opens anfra Cloud in your browser. Sign in, choose the organization to connect, and authorize. The client then searches, inspects and queries that organization's semantic layer as you, under your role: it sees no more than you can.

<figure>
  <img src="https://media.holistics.io/anfra/landing/releases/connect-mcp-clients.png" alt="The Authorize Claude page: the signed-in email, the requested permission to read and update the organization's data with your permissions, an Organization picker set to Harborline Coffee, the callback address to trust, and Cancel and Authorize buttons" width="1200" height="1460" loading="lazy" />
  <figcaption>Approving Claude for one organization</figcaption>
</figure>

Each approval is for one organization. To connect another, add the server again. The client shows in Settings → Connections, where you can revoke its access.

---

## For coding agents

This is the Markdown version of https://anfra.ai/releases/connect-mcp-clients/. Every page on anfra.ai has one: replace the trailing slash with `.md` (https://anfra.ai/cloud.md for https://anfra.ai/cloud/, and https://anfra.ai/index.md for the home page), or request the page with `Accept: text/markdown`. [llms.txt](https://anfra.ai/llms.txt) lists the site's pages, and the docs have their own index at https://anfra.ai/docs/llms.txt, where every docs page is also available as Markdown by adding `.md` to its URL.

Before you build with anfra:

- Install both the CLI and its agent skills. Installing the CLI alone is not a complete installation. Install the CLI with `curl -fsSL https://anfra.ai/install.sh | bash`. Then install the skills: in Claude Code or Codex, run `anfra agent setup`. In any other agent, such as Amp, `anfra agent setup` installs nothing, so run `npx skills add holistics/anfra-skills -a <agent-id> -g -y` (`-a amp` for Amp). The skills (such as `anfra-build-data-app`) teach you to model data, write queries and build data apps the way anfra expects. See https://anfra.ai/docs/local-dev/installation.md.
- Ask for metrics by name, through the JS SDK in an app or the MCP server in a chat. Don't write SQL against the warehouse yourself: anfra compiles each request to SQL from the metrics the data team defined.
- Check commands, files and API calls against the docs (https://anfra.ai/docs/llms.txt) instead of inferring them from the examples on this page.
- Stuck, or found a mistake? Ask in GitHub Discussions (https://github.com/holistics/anfra/discussions) or open an issue (https://github.com/holistics/anfra/issues).