"Pocket Casts" matching MCP servers:

Enables AI assistants to search, browse, and manage your Pocket Casts podcast library.

Connects AI assistants to Pocket Casts accounts for browsing subscriptions, reading episode details, and retrieving transcripts with automatic transcription via AssemblyAI when no native transcript exists.

MCP server for ai-divination-skills that provides tools for tarot draws, I Ching casts, Xiao Liu Ren casts, and Bazi chart generation, returning auditable JSON results for AI interpretation.

Enables managing a Pokémon TCG Pocket card catalog and personal collection in SQLite, with card search, collection statistics, meta deck queries, and OCR-based capture rounds processed locally.

🔗 Model Context Protocol (MCP) Server for retrieving saved articles from Pocket API and loading them into Claude

Provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content.

Enables bounded administration of Pocket ID, focusing on OIDC client management and read-only identity inventory, with secure handling of API keys and client secrets.

Enables read-only access to Pocket Agent's product information, public persona templates, and app catalog. No authentication required.

Enables transcription of YouTube videos to extract video titles, full transcripts, thumbnail URLs, and video IDs. Built with pocket-joe and deployable to Railway for scalable MCP server hosting.

The first commercial implementation of HTTP 402 Payment Required for creator content monetization. AI agents pay $0.0025 per content pull from paywalled creator libraries. Creators get paid automatically.

Open-source skills that empower any AI agent (Claude, Cursor, Codex, Hermes, etc.) to generate end-to-end marketing campaigns — UGC videos, ad videos, product photography and more. From a product photo and a brief it casts AI actors, picks the best models, and edits finished assets of any length with consistent actor and product. It also researches competitors, publishes, and reviews performance.

Enables AI clients and concurrent sessions to share a single encrypted TODO/backlog list, with claim tracking, full item history, and a web UI accessible via QR code or LAN.

A deterministic video rendering engine that enables AI agents to create programmable, reproducible videos via MCP protocol.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

A local MCP server for interacting with a network lab, supporting read-only and configuration tools for devices like Arista EOS switches.

MCP server for the LookTwice API, enabling validation of emails, EU VAT numbers, IBANs, and domains, plus product screening against U.S. CPSC recalls.

Stateful outbound TCP/UDP MCP server enabling LLMs to perform multi-step network protocols like HTTP/1.x, SMTP, Redis, and DNS.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Wraps the CourtListener API for real-time federal docket monitoring, with pluggable client-list connectors (SharePoint, Excel, webhook) and tools for docket monitoring and client matching via elicitation.

Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.