Skip to main content
Everything you can do analyzing data in the Credible App, you can do in the agent you prefer — Claude, ChatGPT, Gemini, or any MCP-compatible chat client. Connect it to Credible and it answers questions grounded in your governed semantic models — no hallucinated field names, no misread schemas — powered by the same Context Engine and the same open-source agent skills behind workspace chat. Same analysis discipline, your agent. Personal agents connect to Credible’s MCP server and authenticate with OAuth: add the server, complete the sign-in flow as yourself, and start asking questions. Because you sign in as yourself, every query is governed as you — your model’s access rules apply exactly as they do in the app. Use your organization’s MCP server URL: https://<your-org>.mcp.credibledata.com/mcp To restrict analysis to a specific workspace, use the workspace-scoped URL instead — you can copy it from your workspace settings page. See MCP Tools for details on scoping.
Using an IDE or CLI coding agent — VS Code Copilot, Claude Code, Gemini CLI, or Windsurf? See Connect your Coding Agent for connecting it to your published models.
  1. Click on user icon (bottom-left)
  2. Connectors
  3. Browse
  4. Click on the link “add a custom one” (note this is not a button)
  5. Enter Name and URL: https://<your-org>.mcp.credibledata.com/mcp
  6. Leave advanced settings alone
  7. Click “connect” on the next page
If you don’t see the option to add custom connectors on an enterprise account, contact your Claude administrator to enable this feature.

​
What Your Agent Can Do

Once connected, your agent has the same two tools every Credible surface uses — get_context to discover governed entities in your models, and execute_query to run Malloy queries against them — and Credible’s open-source skills encode the discipline to use them well: parsing your question into the right search phrases, finding the right sources and views, writing correct Malloy, choosing sensible visualizations, and sanity-checking results before trusting them. In your agent, that means you can:
  • Ask data questions in plain language — “What were our top products by revenue last quarter?” — and get answers grounded in your governed definitions, not guesses
  • Iterate in conversation — follow up, refine, and drill into drivers, with each query building on the matched entities from the last
  • Analyze alongside your other context — combine Credible answers with the documents, tools, and conversation already in your agent
  • Stay governed throughout — every query runs through Credible, ACL’d and audit-logged as you
See the MCP Tools reference for tool parameters and details.