"Pocket Casts" matching MCP servers:

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

AgentSearch web search (and optional page extract) via MCP stdio. Direct local API or Pocket portal.

Lets AI assistants search every Pokémon TCG Pocket card by name, type, rarity, set, evolution stage, ability effect and attack, in six languages, with typo tolerance and semantic search.

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.

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.

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.

One todo list every AI coding agent can write to — Claude Code, Codex, Cursor — scoped per project, local-first, self-hostable.

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.

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.

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.

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 AI agents to analyze local or base64-encoded PCAP/PCAPng captures through bounded MCP tools for protocol summaries, conversations, DNS/HTTP/TLS/QUIC inspection, credential and beacon detection, entropy checks, filtering, and Zeek-compatible export.

Enables querying a dataset of Japanese advertising-law enforcement actions, offering search, retrieval, recent listings, and statistical summaries so models can cite real orders rather than inventing them.

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 live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

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.

Enables MCP agents to inspect and precisely edit a paired browser editor project through local stdio, with batch commands, previews, exports, validation, and guarded undo/redo while keeping changes hand-editable.

Enables AI assistants and coding agents to query a normalized multi-cloud catalog for compute, database, serverless, and AI-model token pricing, estimate full-stack workload architecture costs, and look up data-center availability and compliance pointers directly within their workflows.

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 AI assistants to interact with the full Mistral AI API, including chat completion, embeddings, fine-tuning, OCR, audio transcription, and more.