MCP server giving AI assistants 17 weather tools with zero API keys: global forecasts, current conditions, alerts, air quality, marine conditions, lightning detection, radar imagery, river levels, wildfire tracking, and historical weather back to 1940. Bu

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

An instruction layer for AI coding agent

Exposes a single tool, generar_cierre(usuario), that reads the last three days of a public GitHub user's activity and returns a roughly forty-word end-of-day script covering what was closed, what is still open, and where to start tomorrow, including why the oldest open PR is stuck. Callable from Cursor, OpenCode, Claude Code or any MCP client, unlocked with a one-time x402 license token passed as an x-license header.

Enables LLM clients to inspect live game state and perform deterministic shop, inventory, backpack layout, and combat actions in a running game through a local bridge.

Deterministic Unit-Record Memory Engine for AI coding agents. Eliminates context-window amnesia and compaction bloat via zero-turn workspace hydration, byte-exact registers, and live context telemetry.

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Turns a Muse chat ID into an addressable endpoint so any tool-capable process can send messages, ask questions and read replies, follow live activity, and create, rename, archive, or delete chats over the official Muse gadget Link SDK.

Enables AI clients to securely control Linux and WSL2 systems over Streamable HTTP with Bearer token authentication, supporting command execution, background jobs, file operations, Docker management, system inspection, and audit log access with safety confirmations and path protections.

Enables developers to register custom tool-calling functions, execute path-safe file operations within an isolated workspace, and keep in-memory memory and audit state for AI agent workflows.

Enables MCP clients such as Codex and Claude to plan natural-language or timed actions, generate and revise skeletal motion locally through a Kimodo runtime, and review results with diagnostics, candidate comparison, and interactive 3D previews. Provides checked handoffs of verified exports into Blender and Unreal Engine.

Enables AI clients to extract transcripts from specific Douyin, Xiaohongshu, and YouTube links, or from local media and subtitle files, with tools to check readiness, run extraction, and read paginated transcripts.

Enables MCP clients to drive a separately installed OrcaSlicer instance through a local stdio server, covering slicing jobs, profile and 3MF/settings editing, raw CLI options, artifact inspection and an optional desktop adapter for GUI actions. It also provides job queuing, status tracking and runtime detection of the installed binary's capabilities.

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.

Exposes an OSINT investigation toolkit to any MCP-compatible AI client, which can drive passive checks such as DNS, WHOIS/RDAP, breach, IP reputation, GitHub and news-geo lookups and chain findings across them. The server lists 20 tools by default (16 passive plus 4 graph and batch helpers) and 25 when active checks are explicitly allowed, running via uvx with no separate install.

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

Enables MCP clients to query and diagnose machine-learning training runs through read-only tools for listing experiments, reading configurations and final metrics, comparing runs, sampling metric curves, and detecting training failures.

Enables MCP clients to control KakaoTalk PC through the Win32 API, sending, mentioning, and reading messages, opening chat rooms, sending images, extracting shared links, and monitoring rooms for keywords. It supports health checks, bulk sends to multiple rooms, and exact room-name matching for reliable automation.

Enables auditing GitHub Actions workflows for security problems directly from an MCP client, returning a risk score and findings with file:line evidence, attack narratives, and fixes. Also exposes the full rule catalog and a one-call demo that writes and scans a deliberately broken workflow.

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 MCP-compatible AI clients to run passive OSINT investigation tools for domains, IPs, emails, usernames, breaches, DNS, WHOIS, and reputation checks through natural-language tool calls. It exposes 16 passive tools by default, plus graph and batch helpers, with additional active tools available when explicitly enabled.

Enables LLM clients to explore and query a local SQLite database through read-only, typed tools for table listing, schema inspection, ad-hoc SQL, customer lookup, and sales summaries.

Enables MCP clients to search, classify, cite, and read EndNote X9 libraries locally, with PDF text extraction and narrowly scoped, backup-first field updates.

Enables coding agents to run diff-scoped mutation testing on Python code, returning mutation scores and surviving mutants with actionable hints so they can improve tests.