Connect your AI tool

Condense MCP is a remote server. Your AI tool reaches it over HTTP and signs you in with OAuth. You add one URL, sign in once in your browser, and the tools appear.

https://app.condense.io/api/mcp_servers/mcp

The server name is up to you. This page uses condense. Use the same name in the sign-in command your AI tool gives you. Menu names and steps vary between AI tools, and your tool’s own documentation has the latest wording.

Before you add the server

Install an AI tool that supports MCP, open it and sign in to it with your own account. You need that tool working before you add Condense to it.

Add the server

Choose your AI tool.

Add the server to your project from the command line:

claude mcp add --scope project --transport http condense "https://app.condense.io/api/mcp_servers/mcp"

Or add this to .mcp.json in your project root:

.mcp.json

{
  "mcpServers": {
    "condense": {
      "type": "http",
      "url": "https://app.condense.io/api/mcp_servers/mcp"
    }
  }
}

Then sign in. In a regular terminal (not the IDE extension), start Claude Code:

claude

Type /mcp inside Claude Code, select the condense server and choose Authenticate. Your browser opens the Condense approval page.

Open Settings, then Connectors.
Select Add custom connector.
Enter the name Condense and the URL https://app.condense.io/api/mcp_servers/mcp.
Select Add, then Connect, and sign in with your Condense account.

Add this to .cursor/mcp.json in your project, or to ~/.cursor/mcp.json to use it in every project:

.cursor/mcp.json

{
  "mcpServers": {
    "condense": {
      "url": "https://app.condense.io/api/mcp_servers/mcp"
    }
  }
}

Open the Customize page from the Cursor sidebar, where your MCP servers are listed. Select the condense server and sign in when prompted.

Add the server to your VS Code user profile, so it is available in every workspace:

code --add-mcp '{"name":"condense","type":"http","url":"https://app.condense.io/api/mcp_servers/mcp"}'

Or add it to the current workspace only, in .vscode/mcp.json. VS Code uses servers, not mcpServers:

.vscode/mcp.json

{
  "servers": {
    "condense": {
      "type": "http",
      "url": "https://app.condense.io/api/mcp_servers/mcp"
    }
  }
}

Open .vscode/mcp.json and select Start above the condense entry. VS Code asks you to sign in. Allow it and finish the sign-in in your browser. The Condense tools then appear in Copilot Chat in Agent mode.

Add the server from your terminal:

copilot mcp add --transport http condense-mcp https://app.condense.io/api/mcp_servers/mcp

Copilot CLI confirms the server it added.

The terminal after adding the Condense MCP server to Copilot CLI — Copilot CLI confirms the Condense MCP server.

Start the connection from Copilot CLI. Your browser opens the Condense approval page.

Add the server from your terminal:

gemini mcp add --transport http condense "https://app.condense.io/api/mcp_servers/mcp"

Or add this to ~/.gemini/settings.json, or to .gemini/settings.json in your project. In Gemini CLI the field is httpUrl:

settings.json

{
  "mcpServers": {
    "condense": {
      "httpUrl": "https://app.condense.io/api/mcp_servers/mcp"
    }
  }
}

Start Gemini CLI and run:

/mcp auth condense

Add the server from your terminal:

codex mcp add condense --url "https://app.condense.io/api/mcp_servers/mcp"

Or add this to ~/.codex/config.toml:

config.toml

[mcp_servers.condense]
url = "https://app.condense.io/api/mcp_servers/mcp"

Then sign in:

codex mcp login condense

Any AI tool that supports remote MCP servers and OAuth can connect. In your tool:

Find the option to add a new MCP server.
Enter the Condense MCP server URL in the server URL field.
Give the server a name, such as Condense MCP, if your tool asks for one.
Save the configuration.
Start the connection. Your browser opens the Condense approval page.

Which field holds the URL

AI tools do not agree on how to write a remote server. Use the form below for your tool exactly as shown. The file each tool reads is named in its tab above.

AI tool	Field for the URL	Top-level key
Claude Code	`url`, with `"type": "http"`	`mcpServers`
Claude Desktop and claude.ai	Entered in the dialog	Not applicable
Cursor	`url`	`mcpServers`
GitHub Copilot (VS Code)	`url`, with `"type": "http"`	`servers`
Gemini CLI	`httpUrl`	`mcpServers`
OpenAI Codex CLI	`url`	`mcp_servers`, in a TOML file

What happens next

The first sign-in opens a Condense page in your browser. There you choose the environment and the permissions your AI tool gets. Continue with Sign in and approve access.

Sign in and approve access

Choose the environment and the permissions.

Verify and reconnect

Check the connection works, or sign in again.

​Before you add the server

​Add the server

​Which field holds the URL

​What happens next

Sign in and approve access

Verify and reconnect

Before you add the server

Add the server

Which field holds the URL

What happens next