CDataSoftware · cstigum5 · Dec 17, 2025
diff --git a/docs.json b/docs.json
@@ -304,6 +304,7 @@
                           "en/LlamaIndex-Client",
                           "en/Mistral-Client",
                           "en/N8N-Client",
+                          "en/Replit-Client",
                           "en/Windsurf-Client"
                         ]
                       },
@@ -700,6 +701,7 @@
                       "en/LlamaIndex-Client-Embedded",
                       "en/MicrosoftCopilot-Client-Embedded",
                       "en/N8N-Client-Embedded",
+                      "en/Replit-Client-Embedded",
                       "en/Windsurf-Client-Embedded"
                     ]
                   },
@@ -1226,6 +1228,7 @@
                           "ja/LlamaIndex-Client",
                           "ja/Mistral-Client",
                           "ja/N8N-Client",
+                          "ja/Replit-Client",
                           "ja/Windsurf-Client"
                         ]
                       },
@@ -1622,6 +1625,7 @@
                       "ja/LlamaIndex-Client-Embedded",
                       "ja/MicrosoftCopilot-Client-Embedded",
                       "ja/N8N-Client-Embedded",
+                      "ja/Replit-Client-Embedded",
                       "ja/Windsurf-Client-Embedded"
                     ]
                   },

diff --git a/en/AAS.mdx b/en/AAS.mdx
@@ -2,6 +2,6 @@
 title: "Azure Analysis Services"
 ---
 
-import AzureAnalysisServices from '/snippets/en/en/Data-Sources/AAS.mdx';
+import AzureAnalysisServices from '/snippets/en/Data-Sources/AAS.mdx';
 
 <AzureAnalysisServices />
diff --git a/en/Replit-Client-Embedded.mdx b/en/Replit-Client-Embedded.mdx
@@ -0,0 +1,83 @@
+---
+title: "Replit Agent"
+description: "Replit Agent is an AI-powered coding assistant built into the Replit IDE."
+---
+
+## Prerequisites
+
+Before you can configure and use Replit with Connect AI, you must first do the following:
+
+- Install the Replit IDE.
+
+- Connect a data source to your Connect AI account. See [Sources](/en/Sources) for more information.
+
+- Generate an [OAuth JWT bearer token](/en/Authentication-Embedded). Copy this down, as it acts as your password during authentication.
+
+- Obtain an OpenAI API key: [https://platform.openai.com/](https://platform.openai.com/).
+
+## Connect Replit to the Connect AI MCP
+
+<Steps>
+<Step>
+Open the official Replit MCP learning template available [here](https://replit.com/@matt/Learn-about-MCP?v=1&utm_source=matt&utm_medium=blog&utm_campaign=mcp-in-3#README.md). This template includes a preconfigured MCP runtime environment and sample configuration.
+</Step>
+
+<Step>
+In Replit, click **Remix**. Replit does the following:
+
+- Creates a editable copy of the project.
+- Installs MCP dependencies.
+- Initializes the environment.
+
+Wait for the environment to fully load before continuing.
+</Step>
+
+<Step>
+Inside the project is a file named `mcp-server-config.json`. Copy and paste the following into this file. Replace the authorization header with the credentials obtained in the prerequisites.
+
+```json
+{
+  "systemPrompt": "You are a helpful AI assistant.
+
+Today's date is {today_datetime}.",
+  "llm": {
+    "provider": "openai",
+    "model": "gpt-4o-mini"
+  },
+  "mcpServers": {
+    "cdata-mcp": {
+      "command": "npx",
+      "args": [
+        "mcp-remote",
+        "https://mcp.cloud.cdata.com/mcp",
+        "--header",
+        "Authorization": "Basic Bearer OAUTH_JWT_TOKEN" //OAuth JWT Token
+      ]
+    }
+  }
+}
+```
+</Step>
+
+<Step>
+Replit requires an LLM key to run MCP workflows. In the **Replit Chat**, when asked for an LLM key, provide your OpenAI API key. Replit stores this key securely in the **Secrets Manager**.
+</Step>
+
+<Step>
+You can now open the **Replit Chat** panel and issue MCP commands. 
+
+For example, enter the prompt `"List all MCP tools."` The output looks like the following:
+<Frame>
+  <img src="./images/replit_client_output.png" alt="Replit Test Output" />
+</Frame>
+</Step>
+
+<Step>
+To test whether Replit can communicate with the CData MCP successfully, enter the prompt: `"Show me all available catalogs."` Replit should return a list of catalogs from Connect AI.
+</Step>
+
+<Step>
+You can now query your connected data source(s) in Connect AI using the Replit's LLM.
+</Step>
+</Steps>
+
diff --git a/en/Replit-Client.mdx b/en/Replit-Client.mdx
@@ -0,0 +1,85 @@
+---
+title: "Replit Agent"
+description: "Replit Agent is an AI-powered coding assistant built into the Replit IDE."
+---
+
+## Prerequisites
+
+Before you can configure and use Replit with Connect AI, you must first do the following:
+
+- Install the Replit IDE.
+
+- Connect a data source to your Connect AI account. See [Sources](/en/Sources) for more information.
+
+- Generate a Personal Access Token (PAT) on the [Settings](/en/Settings#access-tokens) page. Copy this down, as it acts as your password during authentication.
+
+- Base64-encode your Connect AI credentials in the following format: `Base64("email:PAT")`.
+
+- Obtain an OpenAI API key: [https://platform.openai.com/](https://platform.openai.com/).
+
+## Connect Replit to the Connect AI MCP
+
+<Steps>
+<Step>
+Open the official Replit MCP learning template available [here](https://replit.com/@matt/Learn-about-MCP?v=1&utm_source=matt&utm_medium=blog&utm_campaign=mcp-in-3#README.md). This template includes a preconfigured MCP runtime environment and sample configuration.
+</Step>
+
+<Step>
+In Replit, click **Remix**. Replit does the following:
+
+- Creates a editable copy of the project.
+- Installs MCP dependencies.
+- Initializes the environment.
+
+Wait for the environment to fully load before continuing.
+</Step>
+
+<Step>
+Inside the project is a file named `mcp-server-config.json`. Copy and paste the following into this file. Replace the authorization header with the Base64-encoded credentials obtained in the prerequisites.
+
+```json
+{
+  "systemPrompt": "You are a helpful AI assistant.
+
+Today's date is {today_datetime}.",
+  "llm": {
+    "provider": "openai",
+    "model": "gpt-4o-mini"
+  },
+  "mcpServers": {
+    "cdata-mcp": {
+      "command": "npx",
+      "args": [
+        "mcp-remote",
+        "https://mcp.cloud.cdata.com/mcp",
+        "--header",
+        "Authorization": "Basic BASE64_ENCODED_EMAIL:PAT" //Authorization obtained in prerequisites
+      ]
+    }
+  }
+}
+```
+</Step>
+
+<Step>
+Replit requires an LLM key to run MCP workflows. In the **Replit Chat**, when asked for an LLM key, provide your OpenAI API key. Replit stores this key securely in the **Secrets Manager**.
+</Step>
+
+<Step>
+You can now open the **Replit Chat** panel and issue MCP commands. 
+
+For example, enter the prompt `"List all MCP tools."` The output looks like the following:
+<Frame>
+  <img src="./images/replit_client_output.png" alt="Replit Test Output" />
+</Frame>
+</Step>
+
+<Step>
+To test whether Replit can communicate with the CData MCP successfully, enter the prompt: `"Show me all available catalogs."` Replit should return a list of catalogs from Connect AI.
+</Step>
+
+<Step>
+You can now query your connected data source(s) in Connect AI using the Replit's LLM.
+</Step>
+</Steps>
+
diff --git a/en/images/replit_client_output.png b/en/images/replit_client_output.png
diff --git a/snippets/en/AI-tools-embedded-list.mdx b/snippets/en/AI-tools-embedded-list.mdx
@@ -7,4 +7,5 @@
 - [LlamaIndex](/en/LlamaIndex-Client-Embedded)
 - [Microsoft Copilot Studio](/en/MicrosoftCopilot-Client-Embedded)
 - [n8n](/en/N8N-Client-Embedded)
-- [Windsurf](/en/Windsurf-Client_Embedded)
+- [Replit Agent](/en/Replit-Client-Embedded)
+- [Windsurf](/en/Windsurf-Client-Embedded)
diff --git a/snippets/en/AI-tools-list.mdx b/snippets/en/AI-tools-list.mdx
@@ -11,4 +11,5 @@
 - [Microsoft Copilot Studio](/en/MicrosoftCopilot-Client)
 - [Mistral Le Chat](/en/Mistral-Client)
 - [n8n](/en/N8N-Client)
+- [Replit Agent](/en/Replit-Client)
 - [Windsurf](/en/Windsurf-Client)