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DocumentationAdmin APIData APIRetrieval APICoding API

Connect your Coding Agent

Let any coding agent analyze data with your published models

The modeling MCP tools are for building models. To let your coding agent analyze data with your published models — the same governed access as workspace chat — connect it to the consumption MCP server and authenticate with OAuth.

Use your organization's MCP server URL: https://<your-org>.mcp.credibledata.com/mcp (see MCP Tools for workspace scoping).

Using Cursor? The VS Code Extension covers it. Connecting a personal chat client like Claude, ChatGPT, or Gemini instead? See Connect your Agent.

  1. Open the Command Palette (Cmd+Shift+P on Mac, Ctrl+Shift+P on Windows/Linux) and run "MCP: Add Server"
  2. Select HTTP
  3. Enter your organization's MCP URL: https://<your-org>.mcp.credibledata.com/mcp
  4. Enter a server ID for the server (e.g., "credible")
  5. Press Enter and select "Global" or "Workspace" scoped
  6. A popup should redirect you to the OAuth flow — open it in your browser and complete the authentication
  7. The server should now show as "Running" (with a checkbox) in the mcp.json file
  8. Open Copilot to test it out
Requires a Pro or Max subscription plan
# Add MCP server
claude mcp add --transport http CredibleData https://<your-org>.mcp.credibledata.com/mcp

# Start Claude Code
claude

# Inside Claude Code prompt, authenticate
/mcp
# Select "authenticate"
# Install Gemini CLI
npm install -g @google/gemini-cli

# Add MCP server
gemini mcp add -t http CredibleData https://<your-org>.mcp.credibledata.com/mcp

# Run gemini to complete OAuth flow
gemini
# This will open a browser window for authentication

# Verify the server is connected
gemini mcp list
  1. In the agent window, click on the plug icon
  2. Click Settings — this opens the mcp_config.json file
  3. Add your server configuration:
{
  "mcpServers": {
    "CredibleData": {
      "serverUrl": "https://<your-org>.mcp.credibledata.com/mcp"
    }
  }
}
  1. Save the file — this automatically opens the OAuth authentication flow
  2. Complete the authentication in your browser

Once connected, your agent has the get_context and execute_query tools — the same tools that power workspace chat.

Next Steps

MCP Tools

The tool reference — what get_context and execute_query do and how to call them

Discovery Metadata

Better answers start in the model — enrich it with doc and index annotations

VS Code ExtensionEmbedded Data

On this page

Next Steps