# PodLexicon [Health: Active]

**Category:** 🎙️ Podcasts  
**Repository:** https://podlexicon.com/agents  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/podlexicon

## Description
Search and read AI summaries of 75,000+ podcast episodes across 130+ interview and narrative shows.

## Tools
Capabilities this server exposes over MCP:

- **search_episodes** — Find podcast episodes about a topic.

    Returns a ranked shortlist with a one-line hook per episode - call
    `get_episode_summary` to read one in full.
    
- **get_episode_summary** — Read an AI-generated summary of one episode.

    `detail` is "brief" (~400 tokens), "detailed" (~2,500 tokens), or "topics".
    
- **get_episode** — Get an episode's metadata: title, show, date, duration, audio URL.
- **find_similar_episodes** — Find episodes covering similar ground to a given one.

    Nearest-neighbour over the episodes' summary embeddings.
    
- **browse_catalogue** — List what PodLexicon covers.

    `kind` is "podcasts", "topics", or "guests". `query` filters by name.
    
- **get_episodes_by** — List the episodes belonging to one podcast, topic, or guest.

    `kind` is "podcast", "topic", or "guest"; `slug` comes from
    `browse_catalogue`.
    

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What PodLexicon MCP server does

The PodLexicon MCP server gives an AI agent access to a searchable catalog of podcast episodes and their AI-generated summaries. The catalog contains more than 75,000 episodes from over 130 interview and narrative shows.

Its documented purpose is narrow and practical: help an agent locate relevant podcast content and read summaries of individual episodes. That makes it suitable for research workflows where the agent needs to identify episodes by topic or inspect episode-level summaries before deciding which material is relevant.

The available description does not identify the specific podcast programs in the catalog, explain how episodes are indexed, or describe whether the service returns metadata beyond summaries. Those details should be verified before building workflows that depend on particular shows or response fields.

## Tools and capabilities

The PodLexicon MCP server is described as supporting two core capabilities:

- Searching the podcast episode catalog.
- Reading AI summaries of podcast episodes.

Search can help an agent narrow a large archive to potentially relevant episodes. Reading summaries can provide a compact representation of an episode without requiring the agent or user to review the complete recording.

Because the description refers specifically to AI summaries, the returned content should be treated as a summary of an episode rather than a transcript or a complete substitute for the original recording. No claim is provided about summary coverage, language, update frequency, or accuracy.

## Limitations and notes

As a result, it does not establish how to install or run the PodLexicon MCP server, which MCP transports it supports, whether authentication is required, or which environment variables are available.

Client compatibility is also not documented. The available information does not confirm support for Claude Desktop, Cursor, Cline, Windsurf, or any other MCP client. It likewise does not describe rate limits, quotas, network requirements, licensing, error behavior, or service availability.

Before adopting the PodLexicon MCP server, verify the server's connection instructions and tool schema at the listed source. Confirm that the catalog includes the shows and subjects needed by the intended workflow, and determine whether the summaries provide enough detail for the application.

_Full upstream README: https://allmcps.com/mcp/podlexicon/readme_