Query Live CSV Data in Zed Editor via CData Connect AI

Zed is a high-performance, open-source code editor built for speed and collaboration. Its built-in AI agent panel supports LLM-powered interactions and MCP (Model Context Protocol) tool integrations, enabling developers to access live external data sources directly within the editor.

By integrating Zed with CData Connect AI through the built-in MCP (Model Context Protocol) Server, the Zed AI agent gains governed, real-time access to live CSV data. This enables developers to query schemas, retrieve records, and explore CSV data without leaving the editor or writing custom integration code.

This article explains how to configure CSV connectivity in Connect AI, register the CData MCP Server in Zed, and query live CSV data from the Zed agent panel.

Step 1: Configure CSV connectivity for Zed

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select CSV from the Add Connection panel

3. Enter the necessary authentication properties to connect to CSV.

   Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

   CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

   Setting connection properties for local files

   Set the URI property to local folder path.

   Setting connection properties for files stored in Amazon S3

   To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

   • AWSAccessKey: AWS Access Key (username)
   • AWSSecretKey: AWS Secret Key

   Setting connection properties for files stored in Box

   To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

   Dropbox

   To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

   SharePoint Online (SOAP)

   To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

   SharePoint Online REST

   To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

   Google Drive

   To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Zed. 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. Copy the token when displayed and store it securely. It will not be shown again

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

Step 2: Configure Connect AI in Zed

Now, let's register the CData Connect AI MCP endpoint in Zed so that the built-in AI agent can discover and call live data tools.

1. Download and install Zed
2. Open the agent panel by pressing Ctrl + Shift + /, or by clicking the sparkle icon at the bottom right of the editor
3. In the agent panel, click the ... (toggle agent menu) and select Add Custom Server from the dropdown
4. Select the Configure Remote option to configure CData's MCP
5. An Add MCP Server dialog opens displaying a remote server configuration template. Replace the placeholder content with the following JSON:

   {
       "cdata": {
           "url": "https://mcp.cloud.cdata.com/mcp",
           "headers": {
               "Authorization": "Basic your_base64_encoded_email_PAT"
           }
       }
   }
           

   Note: Combine your Connect AI email and PAT in the format email:PAT, Base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ, the header value becomes something like: Basic dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQ...

   
6. Click Add Server or press Ctrl + Enter to register the MCP server

Configure an LLM provider

Zed requires at least one LLM provider to power the agent's reasoning. Configure a provider so the agent can interpret queries and call MCP tools through Connect AI.

1. Click the ... (toggle agent menu) and select Settings
2. Under LLM Providers, expand your preferred provider (e.g., Anthropic, OpenAI, Google AI) and enter your API key
3. Under Model Context Protocol (MCP) Servers, confirm that cdata appears with a green dot and the toggle is enabled

With the MCP server registered and an LLM provider configured, the Zed agent is ready to query live CSV data through Connect AI.

Step 3: Query live CSV data from the Zed agent

With the integration complete, use the Zed agent panel to explore and interact with live CSV data through natural language prompts.

1. Open the agent panel using Ctrl + Shift + / and start a new thread
2. Enter a prompt to interact with your data, for example:
   • List all catalogs in my cdata connection
   • Show the available schemas and tables for CSV
   • Query the top 5 records from a table in CSV data
3. The agent calls the CData Connect AI MCP Server and returns live results from CSV data

At this point, your Zed agent communicates with the CData Connect AI MCP Server and retrieves live CSV data through remote MCP tools directly from the editor.

Get CData Connect AI

To access hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today! Start a free 14-day trial of CData Connect AI today, and as always, our world-class Support Team is available to assist you with any questions you may have.