Enables MCP clients to drive the 4NEC2 NEC-2 engine for natural-language antenna modeling and simulation, including building Yagi models, calculating impedance/SWR/gain/front-to-back ratio, sweeping frequency, parsing .out files, optimizing geometry, and generating pattern/sweep plots.

A self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.

A local Python + SQLite MCP memory service that stores persona, shared experiences, facts, agreements, and unfinished work, then restores them within a context budget so a new model can continue the same conversation. It supports offline original-text persistence, Chinese keyword retrieval, provenance-tracked memories, persona versioning/rollback, and progressive fading of older events.

Enables AI agents to look up Chinese laws and statutory articles fully offline from a local SQLite database, resolving a law name plus article number to verbatim text, searching articles by keyword, and retrieving a law's chapter structure and version history. It also verifies citations in bulk, checking whether each quoted provision exists word-for-word and is currently in force.

WordPress MCP server + companion plugin giving AI native access to page builder content, not just the REST API. 276 tools, 380 with WooCommerce, 19 page builders and the Site Editor. Element-level edits, full page creation, HTML to builder conversion, sna

Enables AI assistants to search for real Iconify icons, check icon names and properties, retrieve version-matched pyside-iconify usage references, and statically validate pyside-iconify code before running it.

Gives browser agents a reviewed map of 79 real sites — entry URLs, access verdicts, and role/accessible-name button maps for 104 screens — so an agent can find where things are and know whether it may act at all. Safety rules in code halt irreversible actions such as pay, order, submit and delete pending explicit human approval, while per-site memory recalls which routes worked last time.

Enables LLM clients to perform sandboxed file operations, manage persistent notes, fetch live weather and Wikipedia summaries, calculate arithmetic safely, and retrieve current UTC time via a standalone tool server over stdio or HTTP.

Enables AI agents to store decisions as a versioned history, linking each new decision to the one it replaces so that recall always resolves to the decision currently in force instead of obsolete ones. It runs fully locally on a single SQLite file with BM25 search, and can optionally detect replacements automatically via an LLM or heuristic linker.

Enables an LLM client to perform reverse engineering inside IDA Pro without the GUI, opening databases headlessly in persistent worker processes and exposing tools to decompile and disassemble functions, rename symbols, retype variables and arguments, add comments, and convert numeric bases. It can also run over stdio or HTTP transports and adopt an existing GUI session when desired.

Enables AI agents to connect to security cameras, detect objects with YOLOv8, recognize known faces, monitor restricted intrusion zones, capture annotated snapshots, and query a persistent SQLite event history.

Enables any MCP-compatible client to persist long-term memories for AI agents, with LLM-based fact extraction, semantic vector search, update/delete/list operations, and queue status checks across sessions.

Enables AI agents to operate a self-hosted double-entry personal finance ledger: answering spending, net-worth and cash-flow forecast questions, searching transactions, and managing schedules, rules and imports through audited, reversible tools. Read and write access is scoped by token, with privacy controls over what financial details reach the agent.

Enables MCP clients to query Brazilian agribusiness data such as cattle, soybean, corn, and milk quotes, crop calendars, weather, PTAX exchange rates, exports, sector news, unit conversions, and optional Embrapa AgroAPI tools.

Enables agents and CLI users to drive their locally installed Google Chrome through a dedicated persistent profile over the DevTools Protocol, so they can navigate open HTTP/HTTPS sites, manage tabs, and inspect pages while keeping existing sign-ins and cookies.

Enables offline King James Version Bible lookup, passage retrieval, word and phrase search, deterministic verse-of-the-day access, and book/chapter listing for AI assistants. All tools are read-only and return citable references with structured JSON.

Enables agents to download single model weight files from Hugging Face repositories or Civitai model versions directly into allowlisted ComfyUI model folders. Source identifiers, destination categories, and file extensions are validated, and existing files are never overwritten.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Enables natural-language control of Siemens NX 12 for 3D modeling, 2D drafting, tolerance annotation, process planning, read-back verification, and PDF export through a persistent NXOpen bridge.

Enables AI assistants to connect to a student's university learning platform through Lightpanda, supporting consultation of courses, activities, deadlines, calendar events, downloadable materials, and assignment submissions via natural-language requests.

Enables AI assistants to search a university library's catalog by keyword, title, author, subject, or ISBN, and to check each copy's real-time availability, floor location, and expected return date. Also provides recommended reading lists, new arrivals, and search-term suggestions, with raw holdings data parsed into readable output.

Shardflux MCP server (stdio): serverless VMs for your agent. Open a persistent workspace by key, run commands, edit files, use git, a browser and a desktop in it. Uses your scoped Shardflux API key.

Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.