Interact with Live Airtable Data in Meta Muse via CData Connect AI

Use the CData Connect AI Remote MCP Server to enable Muse to securely interact with live Airtable data.

Muse is Meta's personal AI agent for iOS, Android, and the web, built on the Muse Spark models. It connects to remote model context protocol (MCP) servers, so you can point Muse at a governed data source and let it discover and call live data tools.

Connect Muse to CData Connect AI through its Remote MCP Server, and Muse gains governed, real-time access to live Airtable data. You can explore data, fetch records, and interact with objects using natural language prompts, with every request running against authorized sources.

This article shows you how to configure Airtable connectivity in Connect AI, generate a personal access token, create a custom connector to the Connect AI Remote MCP Server in Muse, and interact with live Airtable data from Muse.

Step 1: Configure Airtable connectivity for Meta Muse

Connectivity to Airtable from Muse is made possible through Connect AI's Remote MCP Server. To interact with Airtable data from Muse, start by creating and configuring a Airtable connection in Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. Adding a connection in Connect AI
  2. Select Airtable from the Add Connection panel
    3. Selecting data source
  3. Enter the necessary authentication properties to connect to Airtable.

    APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.

    • APIKey : API Key of your account. To obtain this value, after logging in go to Account. In API section click Generate API key.
    • BaseId : Id of your base. To obtain this value, it is in the same section as the APIKey. Click on Airtable API, or navigate to https://airtable.com/api and select a base. In the introduction section you can find "The ID of this base is appxxN2ftedc0nEG7."
    • TableNames : A comma separated list of table names for the selected base. These are the same names of tables as found in the UI.
    • ViewNames : A comma separated list of views in the format of (table.view) names. These are the same names of the views as found in the UI.
    Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab and update user-based permissions
    6. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Muse. It is best practice to create a separate PAT for each integration to maintain granular access control.

  1. Click the gear icon () at the top right of the Connect AI app to open Settings
  2. On the Settings page, go to the Access Tokens section and click Create PAT
  3. Give the PAT a descriptive name and click Create
    4. Creating a new PAT
  4. Copy the token when displayed and store it securely. It will not be shown again

With the Airtable connection configured and a PAT generated, Muse can now connect to Airtable data through Connect AI.

Step 2: Create a custom connector to the Connect AI MCP Server in Meta Muse

Muse has no manual "add MCP server" form. Instead, you ask Muse in plain language to build a custom connector that points at the Connect AI Remote MCP Server, a hosted, public HTTPS endpoint that speaks streamable HTTP. Muse builds the connector on its secure VM using the official MCP SDK, then discovers and calls the available Connect AI data tools.

  1. Open Muse on iOS, Android, or the web and start a new chat
  2. Ask Muse to build a custom connector to the Connect AI Remote MCP Server, giving it the server URL and noting that the endpoint is a hosted MCP server over streamable HTTP, for example:
    Create a custom connector to CData Connect AI. It is a hosted MCP server over streamable HTTP at https://mcp.cloud.cdata.com/mcp and it requires an Authorization header.
  3. When Muse prompts for credentials, it opens a secure entry flow, separate from the chat, that saves the value in its Secure Credentials Store. Enter the Authorization header value in the format Basic your_base64_encoded_email_PAT

    Note: For the Authorization value, base64 encode email:PAT and prefix it with Basic. Enter it only in Muse's secure credential prompt, never in the chat.

  4. Muse connects to the Connect AI MCP Server and lists the available data tools. Review the custom connector confirmation, then click Continue. When Muse offers to save the integration as a skill, choose yes so the connector is available in every future chat Click Continue

With the custom connector saved, the Connect AI tools are available to Muse in any chat.

Step 3: Interact with live Airtable data from Meta Muse

With the integration complete, interact with live Airtable data directly from Muse through natural language prompts.

  1. In a Muse chat, type a prompt that uses the Connect AI connector, for example:
    • Use the CData Connect AI connector to list all available connections
    • Show the available objects and fields for Airtable
    • Fetch the top 5 records from Airtable
  2. Approve the tool call in the Sentinel dialog when prompted
  3. Muse calls the Connect AI MCP Server and returns live results from Airtable data Querying live data from Muse

At this point, Muse communicates with the Connect AI MCP Server and retrieves live Airtable data through remote MCP tools directly from your chats.

Get started with CData Connect AI

With CData Connect AI, interact with hundreds of SaaS, big data, and NoSQL sources directly from your AI agents, models, and cloud applications. To explore more download a free 14-day trial today. Our Support Team is available to help with any questions you have.

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