MCP Server | API & MCP Reference | Archera

Archera MCP Server

The Archera MCP Server connects your AI assistant to your Archera account using the Model Context Protocol (MCP), giving it direct access to your cloud commitments, cost data, and optimization recommendations. Archera hosts and manages the remote MCP server with OAuth authentication.

MCP server URL: https://mcp.archera.ai/mcp

Authentication

The Archera MCP Server uses OAuth Authorization Code with PKCE. MCP clients that support Dynamic Client Registration can register themselves automatically during setup.

Most clients start a browser-based Archera login when you connect to or start the MCP server. Claude Code is different: add the server first, then run /mcp inside Claude Code to authenticate.

If your MCP client asks you to manually provide a client_id, update the client or contact Archera support.

Set up your client

Select your client below for setup instructions. All clients should connect to https://mcp.archera.ai/mcp and authenticate with your existing Archera login.

Claude Code

Run the following command in your terminal:

claude mcp add --transport http --scope user archera https://mcp.archera.ai/mcp

Then open Claude Code and run:

/mcp

Select the archera server and follow the browser login flow. Once you approve access, the server is available in future Claude Code sessions. The --scope user flag makes the server available across projects; drop it if you want the server configured only for the current project.

OpenAI Codex

Run the following command in your terminal:

codex mcp add archera --url https://mcp.archera.ai/mcp

Verify the server is configured:

codex mcp list

Claude Desktop

Open Claude Desktop, then go to Settings -> Connectors.

  1. Click Add connector or + -> Add custom connector.

  2. If prompted for a connector type, choose Custom -> Web.

  3. Name the connector Archera.

  4. Enter the connector URL: https://mcp.archera.ai/mcp

  5. Click Add, then click Connect to authenticate with Archera.

Cursor

Go to Cursor -> Settings -> Cursor Settings -> MCP and add the server. You can also edit your mcp.json directly:

{
  "mcpServers": {
    "archera": {
      "type": "http",
      "url": "https://mcp.archera.ai/mcp"
    }
  }
}

Gemini CLI

Run the following command in your terminal:

gemini mcp add archera https://mcp.archera.ai/mcp --transport http --scope user

Cline

Open the Cline panel in VS Code, then open MCP Servers from the panel menu.

  1. Select the Remote Servers tab.

  2. Enter server name archera.

  3. Enter server URL https://mcp.archera.ai/mcp.

  4. Select Streamable HTTP as the transport type.

  5. Click Add Server.

Zed

Open the Agent Panel's settings view and click Add Custom Server, or add the server directly to your Zed settings:

{
  "context_servers": {
    "archera": {
      "url": "https://mcp.archera.ai/mcp"
    }
  }
}

VS Code (GitHub Copilot)

Open the Command Palette with CMD+Shift+P, select MCP: Add Server, choose HTTP, and enter:

https://mcp.archera.ai/mcp

Windsurf

Open the Cascade panel, select the MCPs icon, or go to Windsurf Settings -> Cascade -> MCP Servers. Add a custom MCP server with this configuration:

{
  "mcpServers": {
    "archera": {
      "serverUrl": "https://mcp.archera.ai/mcp"
    }
  }
}

Warp

Go to Settings -> Agents -> MCP servers -> + Add and select Streamable HTTP or SSE Server (URL). Enter the following:

{
  "mcpServers": {
    "archera": {
      "url": "https://mcp.archera.ai/mcp"
    }
  }
}

Amp

VS Code Extension: Add the server via the Amp VS Code extension settings, or update your settings.json:

"amp.mcpServers": {
  "archera": {
    "url": "https://mcp.archera.ai/mcp"
  }
}

Example prompts

Once connected, try these prompts to get started:

Visibility

Analysis

Optimization

Available tools

The Archera MCP server gives your AI assistant access to:

Troubleshooting