"Pocket Casts" matching MCP servers:

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 LLMs to read a user-owned, local-first memory store kept in a portable folder (USB, SSD or laptop), with per-profile permissions limiting what each client can see and access cut off when the pocket is locked or unplugged. Also lets models propose new memories for the user to review and approve, keeping provenance and keeping canonical memory free of direct model writes.

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.

A Model Context Protocol server that allows Claude to interact with Warpcast accounts, enabling actions like posting casts, reading content, searching by keywords, and managing channel interactions through natural language.

Enables interaction with Warpcast (Farcaster) through Claude, allowing users to post casts, search and read content, get trending posts, and manage channel subscriptions using natural language.

Enables an AI assistant to control a Sonicake Pocket Master guitar processor over USB MIDI by describing tones in plain words — selecting amp/cab/effect models, setting parameters, reordering the signal chain, and saving, renaming, backing up or restoring presets. It also provides offline tools for inspecting firmware and rebuilding it with a translated UI, such as Russian.

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.

A machine-facing licensing and settlement rail for AI agent content access. search_pockets and list_pockets work with no key. pull_content needs a funded key and returns HTTP 402 with a registration URL when it has none. Every access, paid or refused, writes its own row with a receipt on both sides. $0.0025 default per pull, owners set their own. 85% to the creator.

Enables LLM agents to search Regulations.gov federal dockets, retrieve docket abstracts and metadata, and list rulemaking documents, giving read access to federal regulatory data.

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

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.

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

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.

Provides live bus and light rail data for the Charlotte Area Transit System, including vehicle positions, arrivals, and route information via GTFS-Realtime feeds.

Enables controlling Cisco Packet Tracer through its native PTMP/IPC interface to create devices and links, configure IOS and PC addresses, run real ping tests, save .pkt files, and export topology as PNG.

Enables headless creation, parsing, and grading of Cisco Packet Tracer .pkt/.pka lab files, including CCNA activity scoring, through MCP tools without requiring Packet Tracer to run.

MCP server that provides ~39 tools to interact with Google NotebookLM's internal API, enabling notebook management, source addition, chat queries, and Studio artifact generation through stdio, HTTP, and SSE transports.

Enables automation of Cisco Packet Tracer simulations by placing devices, connecting links, and generating IOS configurations via MCP, ideal for network coursework and demonstrations.

Enables natural-language construction and configuration of Cisco Packet Tracer topologies, including devices, cabling, IOS commands, VLANs, routing protocols, and network reproduction from diagrams.

Enables real-time voice agents and streaming pipelines to smooth audio playout over volatile network conditions by providing adaptive jitter buffering and packet loss concealment. It exposes an MCP-compliant server that accepts audio frames and telemetry, returning low-latency decision and diagnostic output.

Provides adaptive jitter buffering and packet loss concealment for real-time voice streams, ensuring smooth audio playout in unstable network conditions.

Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.

Enables MCP-compatible clients to plan, validate, generate, and deploy complete network topologies from natural-language instructions, including live deployment to a running network simulator and export to configuration or script files.

Connects Claude with Cisco Packet Tracer 9.x to control network topologies, configure devices with IOS commands, and run diagnostics via natural language.

Enables AI assistants and security analysts to inspect PCAP/PCAPNG captures through MCP tools or REST endpoints, reassembling TCP/UDP streams, extracting payload artifacts, detecting CTF flags, credential leaks and network anomalies, and generating formal PDF or Markdown forensic reports. Every finding is bound to exact frame numbers, timestamps and endpoints with SHA-256 deduplicated evidence provenance.

Enables AI agents to control Cisco Packet Tracer in real time, allowing natural language-driven creation and configuration of network topologies.

Enables MCP-capable AI clients to turn natural-language network requests into validated, deployable Cisco topologies and to read back device state from the live simulator.

An MCP server that allows LLMs to create, configure, validate, and explain Cisco Packet Tracer network topologies. It provides a comprehensive suite of tools for generating deployment scripts, CLI configurations, and automated network troubleshooting.

Enables MCP clients to manage Tines cases via the Cases v2 API, supporting create, read, update, close, and comment operations. Runs in a container via podman/docker and defaults to read-only for safety.