What is an MCP?

MCP stands for Model Context Protocol, and is an open-sourced standard developed by Anthropic to connect external data and tools to AI models.

The Unwrap MCP gives you access to the same tools that power the Unwrap Assistant, allowing you to get the same great Assistant experience natively in your AI model of choice.

Connecting to Claude Desktop/Web

1. Go into Claude, go to Organization Settings, and click Connectors

   

2. Click Add, and add the following:

   1. Name: unwrap (or whatever else you want to call it)

   2. url: https://nlp.api.production.unwrap.ai/mcp

3. Click Add

4. Then, go to the Unwrap connector, and click "Connect" if there's a connect button. Follow the redirect link, and let it redirect you back to Claude, and you should be authenticated!

5. If there is a Configure button instead, you already probably authenticated the unwrap MCP, and you're good to go!

   1. 

Connecting to Claude Code

1. In a terminal, run claude mcp add --transport http unwrap https://nlp.api.production.unwrap.ai/mcp

2. Enter claude code with the claude command

3. Use the /mcp command, and authenticate the unwrap mcp

Connecting to ChatGPT

1. Enable developer mode: https://developers.openai.com/api/docs/guides/developer-mode

2. Go to Settings > Apps > Create an App

3. Set https://nlp.api.production.unwrap.ai/mcp as your url

4. Click "I understand and want to continue" and Add the App.

5. Then, when you click Connect on the App, it should go through an oauth flow, where you login with your permissions and connect.

6. You should now see that your app is connected!

   

Connecting to Cursor

1. Go to Cursor > Settings > Cursor Settings > Tools & MCP

2. Add a new MCP server

3. In your mcp.json,

   1. If you have other mcp servers, add the below inside the mcpServers json, alongside your other servers:

"unwrap": {
  "url": "https://nlp.api.production.unwrap.ai/mcp"
} 

b. Otherwise, copy and paste the entire json, replacing the current file

{
  "mcpServers": {
    "unwrap": {
      "url": "https://nlp.api.production.unwrap.ai/mcp"
    }
  }
}

4. Save the file

5. Go back to your Cursor Settings, and you should see a Connect button (might have to restart Cursor to see this). Click connect. You will be redirected to an Unwrap permissions page. Select your organization, and click "Allow". This should redirect you back to Cursor.

4. If the connection was successful, you should see something like this in Cursor's Tools and MCPs section

   

Static OAuth Connection

If you want one shared set of credentials to use for all users in your entire org, you may create static OAuth credentials to connect to the Unwrap MCP. This will give read access to all views in your org, to any user that uses the credentials. You need to be an Admin of your Unwrap org to create the credentials.

Generate an OAuth Client ID and Secret from your Organizations page in Unwrap. On the Organizations page, the OAuth Credentials section is in the bottom right. You'll need a callback url for this. This usually will be listed on the MCP clients doc page. You need this to be able to use the static credentials with a client.

Once you get the static OAuth credentials, follow the steps on each MCP clients docs to add the static credentials in the right spot.

Auth and Token endpoints

Some MCP clients require an auth and token endpoint. This is usually automatically detected by the client, but if your client requires these fields, they are:

• Authorization endpoint: https://nlp.api.production.unwrap.ai/oauth/authorize

• Token endpoint: https://nlp.api.production.unwrap.ai/oauth/token

Usage

To use, just start asking questions about your feedback! If your client isn't picking up that it should use the Unwrap MCP automatically, you can explicitly ask it to use Unwrap. For eg: "Using Unwrap, get me the top issues customers are facing"

Views

The first thing your LLM client will try to figure out is what View you're asking about. It will use the list_views tool to list the Views that you have permissions for. Select the View that you want it to use for the rest of it's queries.

Querying data

Now that you've selected a View, start querying data! Ask any questions you want about your customer feedback in natural language, and your LLM Client will be able to use the Unwrap tools to explore your teams feedback, and give you a data backed answer.

Suggested Questions

• What are my top issues for the last 90 days?

• Can you filter down to just issues about X, and show me how they've trended over the last 6 months?

• Can you find me customer feedback around feature X, and then write me a priority ranked PRD, with customer anecdotes and links?

Connection Issues

If you're experience connection problems, try going to your LLM Client settings, find the Unwrap MCP, disconnect it, and reconnect it. If the issue still persists, please reach out to our support team.

Tools

All Unwrap tools are currently read only.