MCP podcast server for AI agents

Give your AI agent the ability to create briefings, manage sources, and retrieve audio — via 10 MCP tools over JSON-RPC 2.0. Works with Claude Desktop, Continue, Cursor, and any MCP client.

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7-day free trial · MCP access included in all paid plans

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.

MCP adoption: The MCP standard has 5,000+ GitHub stars and is supported natively by Claude Desktop (Anthropic), Continue.dev, Cursor, and a growing list of AI tools. It's becoming the default protocol for AI-to-tool communication.

The 10 MCP tools

create_briefing_profile
update_briefing_profile
add_source
generate_briefing
get_latest_briefing
get_briefing_audio
get_briefing_transcript
schedule_briefing
pause_briefing
resume_briefing

Connect in under 5 minutes

Add the ListenBrief server to your MCP client configuration:

{ "mcpServers": { "listenbrief": { "url": "https://listenbrief.com/mcp/v1", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }

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
Example — what an agent-triggered briefing sounds like
AI Investor Briefing — 3-minute example

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.

Full documentation: MCP quickstart guide at developer.listenbrief.com/quickstart-mcp. REST API reference at developer.listenbrief.com/api. OpenAPI 3.1 spec at listenbrief.com/developer/openapi.json.

See also: AI podcast API (REST) · AI briefing API overview · MCP servers for audio intelligence: developer guide

Frequently asked questions

What is MCP and why does it matter?

MCP (Model Context Protocol) is an open standard from Anthropic that lets AI models like Claude call external tools via a JSON-RPC interface. By connecting your AI agent to the ListenBrief MCP server, it can create briefings and retrieve audio without you writing custom API integration code.

Does it work with Claude Desktop, Continue, or Cursor?

Yes. Any MCP-compatible client works. ListenBrief has been tested with Claude Desktop, Continue.dev, and standard JSON-RPC clients. The full MCP spec is implemented.

What tools does the MCP server expose?

10 tools: create_briefing_profile, update_briefing_profile, add_source, generate_briefing, get_latest_briefing, get_briefing_audio, get_briefing_transcript, schedule_briefing, pause_briefing, resume_briefing.

What API key tier do I need?

Any paid plan includes MCP access. The API key from your ListenBrief dashboard works for both the REST API and the MCP server — no separate credential needed.

Is the MCP server open source?

The MCP server is implemented per the open MCP standard. The server code is not open source, but the complete interface is documented at developer.listenbrief.com/quickstart-mcp.

Give your AI agent audio intelligence.

10 MCP tools. JSON-RPC 2.0. Works with Claude, Continue, Cursor, and more. From $9/mo.

Get API access →