MCP (Model Context Protocol) is an open standard, open-sourced by Anthropic, that lets AI models call external tools via a JSON-RPC interface. Instead of building custom integrations between your AI agent and each API, MCP gives you a standardized way to expose capabilities to any MCP-compatible model.
The ListenBrief MCP server exposes 10 tools that give AI agents complete control over briefing creation, management, and retrieval — without requiring the agent to understand the ListenBrief REST API or manage HTTP requests directly.
The 10 MCP tools
Connect in under 5 minutes
Add the ListenBrief server to your MCP client configuration:
After adding this config to Claude Desktop, Continue, or Cursor, your AI model gains access to all 10 ListenBrief tools. Ask it: "Create a daily briefing profile for me covering AI news and generate the first episode." It will call create_briefing_profile, add_source, and generate_briefing automatically.
What AI agents can do with this
- Personal assistant agents — create and manage your daily briefing profile, adjusting sources based on your interests and conversations
- Business intelligence agents — generate weekly intelligence reports from company-defined source lists
- Research agents — trigger on-demand briefings when a research topic changes, retrieve transcripts for downstream analysis
- Zamforge website agents — auto-generate audio updates for website visitors from site-specific RSS feeds
Authentication and security
The MCP server uses Bearer token authentication. API keys are generated in your ListenBrief dashboard and can be scoped to specific permissions — read-only, generate-only, or full access. Keys prefixed with test_ operate in sandbox mode without consuming quota.
See also: AI podcast API (REST) · AI briefing API overview · MCP servers for audio intelligence: developer guide