Query Live Linear 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 Linear data. This enables developers to query schemas, retrieve records, and explore Linear data without leaving the editor or writing custom integration code.
This article explains how to configure Linear connectivity in Connect AI, register the CData MCP Server in Zed, and query live Linear data from the Zed agent panel.
Step 1: Configure Linear connectivity for Zed
Connectivity to Linear from Zed is made possible through CData Connect AI's Remote MCP Server. To interact with Linear data from Zed, start by creating and configuring a Linear connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Linear from the Add Connection panel
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Enter the necessary authentication properties to connect to Linear.
You can authenticate to Linear with a personal API key or with OAuth 2.0. The API key is the simplest option for connecting with your own Linear account.
Authenticating with an API Key
Set the following connection properties:
- AuthScheme: Set this to APIKey.
- APIKey: A Linear personal API key.
To create a personal API key, log in to Linear, open Settings > Security & access > Personal API keys, select New API key, and create it. Copy the key immediately, because Linear shows it only once.
Authenticating with OAuth
OAuth requires a custom OAuth application registered in Linear (Settings > API > OAuth applications), which provides the OAuthClientId and OAuthClientSecret. Two flows are supported:
- Authorization code: Set AuthScheme to OAuth, InitiateOAuth to GETANDREFRESH, and provide OAuthClientId, OAuthClientSecret, and the CallbackURL defined in your application (e.g., http://localhost:33333). The driver opens Linear in your browser so you can grant access.
- Client credentials: Set AuthScheme to OAuthClient and provide OAuthClientId and OAuthClientSecret. This authenticates the application itself, with no browser interaction, and suits machine-to-machine integrations.
By default, the driver requests the read,write scopes. The driver refreshes the access token automatically when it expires.
- Click Save & Test
- 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.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the Linear connection configured and a PAT generated, Zed can now connect to Linear 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.
- Download and install Zed
- Open the agent panel by pressing Ctrl + Shift + /, or by clicking the sparkle icon at the bottom right of the editor
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In the agent panel, click the ... (toggle agent menu) and select Add Custom Server from the dropdown
- Select the Configure Remote option to configure CData's MCP
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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...
- 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.
- Click the ... (toggle agent menu) and select Settings
- Under LLM Providers, expand your preferred provider (e.g., Anthropic, OpenAI, Google AI) and enter your API key
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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 Linear data through Connect AI.
Step 3: Query live Linear data from the Zed agent
With the integration complete, use the Zed agent panel to explore and interact with live Linear data through natural language prompts.
- Open the agent panel using Ctrl + Shift + / and start a new thread
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Enter a prompt to interact with your data, for example:
- List all catalogs in my cdata connection
- Show the available schemas and tables for Linear
- Query the top 5 records from a table in Linear data
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The agent calls the CData Connect AI MCP Server and returns live results from Linear data
At this point, your Zed agent communicates with the CData Connect AI MCP Server and retrieves live Linear 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.