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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 Act CRM data. This enables developers to query schemas, retrieve records, and explore Act CRM data without leaving the editor or writing custom integration code.
This article explains how to configure Act CRM connectivity in Connect AI, register the CData MCP Server in Zed, and query live Act CRM data from the Zed agent panel.
Connectivity to Act CRM from Zed is made possible through CData Connect AI's Remote MCP Server. To interact with Act CRM data from Zed, start by creating and configuring a Act CRM connection in CData Connect AI.
The and properties, under the Authentication section, must be set to valid Act! user credentials. In addition to the authentication values, see the following:
Connecting to Act! Premium
In addition to the authentication values, the to Act! is also required; for example https://eup1-iis-04.eu.hosted.act.com/.
Additionally, you must specify the you will connect to. This is found by going to the About Act! Premium menu of your account, at the top right of the page, in the ? menu. Use the Database Name in the window that appears.
Connecting to Act! Premium Cloud
To connect to your Act! Premium Cloud account, you also need to specify the property. This property is found in the URL address of the Cloud account; for example https://eup1-iis-04.eu.hosted.act.com/ActCloudName/.
Note that retrieving ActCRM metadata can be expensive. It is advised that you set the property to store the metadata locally.
π Configuring a connection (Salesforce is shown)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.
With the Act CRM connection configured and a PAT generated, Zed can now connect to Act CRM data through Connect AI.
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.
{
"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...
π Pasting the CData Connect AI MCP Server configurationZed 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.
With the MCP server registered and an LLM provider configured, the Zed agent is ready to query live Act CRM data through Connect AI.
With the integration complete, use the Zed agent panel to explore and interact with live Act CRM data through natural language prompts.
At this point, your Zed agent communicates with the CData Connect AI MCP Server and retrieves live Act CRM data through remote MCP tools directly from the editor.
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.
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