Enables coding agents to propose, review, promote, and verify architecture changes as recorded C4 model updates, with hypothetical diffs, evidence-based qualification, and component histories.

Enables Claude and other MCP clients to list and query allowlisted Supabase tables, insert rows, and search, read, or create Notion pages. It ships with table allowlists, validated inputs, row limits, and an optional read-only mode that unregisters write tools, plus a mock mode for trying it without credentials.

Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.

Enables AI agents to debug Commodore software in a locally running VICE emulator through its text remote monitor, inspecting registers, memory and screens, disassembling code, setting breakpoints and watchpoints, controlling execution, and working with disk images, snapshots and exported graphics. Runs locally over stdio and includes safety guidance for state-changing operations.

Enables running NXOpen journals and Python scripts inside an already-open Siemens NX 2512 session from chat, with tools for pinging/checking the live bridge, creating and opening parts, and listing modules. It also adds a left-sidebar NX panel showing the bridge endpoint, available tools, and copy-ready commands.

Enables keyword search across source-traceable evidence chunks, listing opportunities linked to supporting evidence, and deterministic ROI calculations with model-proposed inputs and TypeScript-computed dollar figures.

Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

This MCP server enables agents to administer a self-hosted AI control plane for users, organizations, subscriptions, API keys, model providers, and service health, with local-first model routing and cloud failover.

Enables AI hosts to retain evidence, check explicit constraints, plan bounded work, and record outcomes through local-first MCP operations. Optional reconstruction tools also support experimental image-to-3D workflows with local model providers and Blender.

Embeds a runtime MCP inspector in a NestJS app so coding agents can inspect the module and provider graph, routes and their guards/interceptors/pipes/filters, logs, request traces, event listeners, and scheduled jobs through an HTTP endpoint.

Connects MCP-compatible AI clients to a university Moodle campus locally so users can query courses, assignments, materials, grades, forums, and calendar events, including reading attachments and PDFs. It is a read-only beta that does not modify the campus or store passwords.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

Keeps large tool outputs out of an agent's context window by spilling them to disk and handing back a short pointer instead. Lets the agent pull only what it needs — exact numbered line ranges read directly from disk, or verbatim relevant lines returned by a small model answering a question about the stored output, plus tools to open, list, and close documents.

Frontier model solution tracing, then made the prompting skills so Sonnet, GPT, DeepSeek, GLM, Kimi, ETC models work like that

Enables AI agents to run private web searches against a self-hosted SearXNG instance, rerank results with a local model, and fetch or extract pages locally into markdown, including PDFs, with optional caching, crawling, and cited local-LLM answers.

Enables MCP clients like Claude Code, Codex, Cursor, and Claude Desktop to search, read, and download attachments from NetEase mailboxes (163/126/yeah.net/188), wait for verification codes, and create drafts or send and move messages only after a two-stage preview and confirmation, with readonly, draft, and full permission modes.

Exposes Rekt Knockout and Minute trading over stdio as MCP tools: list markets, preview stake and payout after fees, and check open positions, plus opening and closing positions when a scoped session key or paper mode is configured. Signed operations always run under caller-defined risk limits and never use the owner's private key.

Enables AI clients to query and operate Git for a Cocos Creator 3.8 project and its submodules, drive editor asset/scene/prefab tools, and inspect the running preview's hierarchy, properties and page events through a scoped, token-gated bridge that previews every write as a one-time plan and never executes arbitrary code.

Enables MCP-capable agent CLIs on macOS to reuse an installed, unmodified OpenAI Browser Runtime to drive a connected Chrome or Edge browser (or a host's in-app browser backend) through js, js_reset, and turn_ended tools. It stays a thin bridge that preserves the Runtime's approval and security boundaries, failing closed when the client cannot handle approval requests.

Exposes a single ask_warriorgpt tool that lets Claude Code delegate self-contained code generation prompts to Wayne State's hosted model API, passing files to and from disk so the content never counts against the Claude plan. It validates multi-file edits before writing and logs per-session token usage, keeping design and debugging work with Claude.

Enables monitoring and control of OBS Studio over the OBS WebSocket protocol, including scene, audio, recording, and streaming operations, batch macros, event inspection, multimodal screenshot analysis, and safety guardrails.

Enables AI assistants to search YouTube, manage a channel, read analytics, and handle uploads, playlists, captions, comments, and moderation while requiring explicit approval for every change.