Agora MCP

Install Agora MCP when you want your assistant to check the latest Agora docs before it writes or changes code. Use it to confirm current SDK methods, parameters, quickstarts, and product or platform differences while you build or debug.

This is most useful when documentation freshness is the risky part of the task. If you also want help choosing the right Agora workflow or starter, add Agora Skills.

Install the MCP server

Agora MCP is included when you install Agora Skills, but you can also install the MCP server on its own:

https://mcp.agora.io

Agora MCP is available only in coding tools where you install or configure it. A regular browser-based chat session does not connect to this server automatically.

{
  "mcpServers": {
    "agora-docs": {
      "url": "https://mcp.agora.io"
    }
  }
}

claude mcp add --transport http agora-docs https://mcp.agora.io

codex mcp add --url https://mcp.agora.io agora-docs

gemini mcp add --transport http agora-docs https://mcp.agora.io

Start with a prompt

Install the server in your coding tool, then ask your assistant to search Agora docs before it writes code. Include the Agora product, the target platform, and the task type in the same prompt.

Use Agora MCP to find the current web quickstart for Conversational AI and explain the minimum setup for a browser voice demo.

Make docs lookup part of the workflow

If your repository includes AGENTS.md or similar instructions, tell your assistant to prefer Agora MCP for product-specific lookups. That turns docs checks into a normal part of the workflow instead of an optional extra step.

If your MCP client is not available, these fallback resources still help:

• Use https://docs.agora.io/llms.txt as the lightweight documentation index. Its entries link directly to Markdown pages.
• Append .md to a documentation URL to read that page as Markdown. For example, use https://docs.agora.io/en/ai/get-started/quickstart.md.
• Use https://docs.agora.io/llms-full.txt only for offline indexing or bulk processing. It is too large to use as the default context for an interactive assistant.