"Pocket" matching MCP servers:

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 an AI assistant to keep every conversation verbatim in a local SQLite store and recall the most relevant past turns on demand, using hybrid keyword and embedding search plus time-awareness. Results are packed into a small token budget (2k–8k tokens) so long histories fit modest context windows, with secrets masked before storage.

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 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.

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 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.

The first commercial implementation of HTTP 402 Payment Required for creator content. AI agents discover music, video, and text catalogs as pre-indexed Pockets (list_pockets, search_pockets — free, no key) and pull licensed content per-use through a 402 paywall. Tiered per-pull pricing by content type; 85% of every pull pays the rights holder instantly, with attribution and an audit trail.

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.

Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.

Enables managing PocketBase instances through intent-first tools for schema inspection, record CRUD, bulk operations, authentication, file handling, and server monitoring, with optional destructive operations gated behind explicit opt-in.

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 agents to track spending against configurable daily limits, record and undo expenses across daily, flexible, and safety pools, query remaining quota, manage budget rules, and receive quota alerts through a shared ledger. Supports read-only, bookkeeping, and budget-management permission levels.

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.

Enables AI assistants to interact with the Pocketsmith personal finance API to manage accounts, budgets, and transactions through natural language. It supports comprehensive financial tasks including spending analysis, category management, and tracking recurring bills.

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.