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Documentation Index

Fetch the complete documentation index at: https://docs.dograh.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Dograh exposes an MCP (Model Context Protocol) server that lets AI assistants like Claude Code, Claude Desktop, and Cursor access your workspace and documentation. Once connected, an assistant can list your agents, fetch agent definitions, and search Dograh docs on your behalf.

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Prerequisites

  • A Dograh API key. Generate one at /api-keys (or http://localhost:3010/api-keys for self-hosted). See API Keys.
  • Your Dograh MCP endpoint:
    • Hosted: https://app.dograh.com/api/v1/mcp/
    • Self-hosted: <YOUR_BACKEND_URL>/api/v1/mcp/
The endpoint is also shown in Platform Settings → MCP Server inside the Dograh UI.
If you deployed Dograh to a remote server using setup_remote.sh, your endpoint is served with a self-signed SSL certificate. Claude Code will refuse MCP connections to it unless you start the CLI with TLS verification disabled:
NODE_TLS_REJECT_UNAUTHORIZED=0 claude
This is only required for self-signed certificates. If you have set up a custom domain with Let’s Encrypt certificates via Certbot, no extra flag is needed.

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Claude Code

Register Dograh as an MCP server with the Claude Code CLI: 
claude mcp add --transport http dograh https://app.dograh.com/api/v1/mcp/ \
  --header "X-API-Key: YOUR_API_KEY"
Replace YOUR_API_KEY with the key you generated. For self-hosted deployments, swap the URL for your backend. Verify the server is connected: 
claude mcp list

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Claude Desktop

Open Claude Desktop’s config file (claude_desktop_config.json) and add the dograh entry under mcpServers: 
{
  "mcpServers": {
    "dograh": {
      "url": "https://app.dograh.com/api/v1/mcp/",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}
Restart Claude Desktop after saving. The Dograh tools should appear in the tool picker.

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Cursor and other MCP clients

Any MCP client that supports Streamable HTTP transport can connect with the same URL and header. Paste the configuration above into your client’s MCP settings file and replace YOUR_API_KEY.

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Example prompts

Once the MCP server is connected, you can drive Dograh from your coding agent in plain English. A few prompts to try: Explore your workspace
  • “List my agents in Dograh.”
  • “Show me the definition of the agent called Lead Qualifier.”
  • “Which credentials and tools are configured in my Dograh workspace?”
  • “List the recordings from my most recent agent.”
Edit an agent
  • “In my Lead Qualifier agent, add a new agent node after the greeting that asks the caller for their budget, then routes to the existing qualification node.”
  • “Add an end-call node to Support Bot that triggers when the user says they are done, with a polite goodbye prompt.”
  • “Rename the intro node in Lead Qualifier to greeting and update any edges that reference it.”
  • “Change the LLM model on all agent nodes in Support Bot to gpt-4o-mini.”
Learn the platform
  • “Search the Dograh docs for how to configure a TURN server.”
  • “What node types does Dograh support, and what fields does a knowledge_base node take?”
  • “How do I deploy Dograh on a custom domain with HTTPS?”
Agent edits are saved as a new draft version — your published agent keeps serving calls until you explicitly publish the draft from the Dograh UI.
The API key controls which workspace the assistant sees. Treat it like any other credential — do not commit it to source control or paste it into shared chats.