Runs entirely local media tooling as an MCP plugin: it edits and inspects video, denoises/transcribes/normalizes audio, generates images, performs OCR, does offline text-to-speech, drives the user's logged-in Chrome via CDP, and reads or creates Office and PDF documents. Everything executes on the machine through ffmpeg, faster-whisper, MossFormer2, ComfyUI/FLUX, Tesseract, SAPI and Playwright, with no API costs or file uploads.

Enables agents to run SweetScape 010 Editor Binary Templates and Scripts headlessly against local files. It provides tools to locate the editor binary, execute templates or scripts, and use controlled exit behavior for compile and runtime failures.

Enables an agent to author, render, and visually verify Manim animations from a described concept, returning evidence and structured verdicts so incorrect renders can be fixed before export.

Enables AI coding agents to query a locally indexed codebase graph for symbol definitions, immediate callers and callees, and multi-hop downstream dependency impact analysis through MCP tools.

Enables AI agents to query and trade through Interactive Brokers using 38 tools for order placement and management with risk checks, account and position data, market and historical data, and options analytics. Includes diagnostics and configurable safety limits, designed primarily for paper trading.

Enables Codex sessions to observe and control the Windows desktop through screenshot reasoning, archived-frame inspection, pixel sampling, keyboard/mouse input, and workspace-local multimodal memory.

Enables a model to write short Python programs that call a wrapped MCP server's tools as async functions, rather than invoking them one at a time. The program runs in a locked-down Docker sandbox, and every tool call passes through a host-side bridge that enforces an allowlist, schema-validated arguments, call budgets, timeouts and output caps.

Enables asking in plain language about a Proxmox VE cluster's guests, backups, snapshots and resource pressure, and starting, cleanly shutting down or rebooting VMs and containers or taking snapshots from the same chat. Every change requires a one-time confirmation code, and no tool can delete a guest, restore a backup or roll back a snapshot.

Enables natural-language querying of GLPI IT helpdesk and asset data—tickets, ownership, deadlines, and person-held assets—plus safe follow-up additions and ticket updates that require one-time confirmation before changes are applied.

Enables AI assistants to read Lanhu requirements and design handoffs, extract pages, annotations, screenshots, design parameters, and image assets, and share team knowledge through a collaborative message board.

Enables AI agents to list and compare LLM API prices per million tokens, rank the cheapest models by context and keyword, look up GPU rental rates per hour by provider, and estimate self-hosting cost per million tokens against API pricing. Pricing data comes from OpenRouter's public models endpoint plus a dated GPU price CSV, with source URLs and explicit notes when data is missing.

Enables AI agents to search and browse a local, CJK-aware full-text index over coding-agent session histories (Claude Code, ZCode, Kimi, dsh, Qoder, OpenCode) via tools for searching sessions, listing sessions, fetching original messages, listing agents and tools, and refreshing the index.

Enables AI agents to read the local, already-logged-in WeChat account's chat history: fetch recent messages per contact for reply suggestions, bulk-export all conversations into a local SQLite index for full-text and semantic search, and export media or Moments timelines as offline HTML. Everything runs locally and read-only on macOS, exposing 15 MCP tools plus a matching CLI.

Enables querying a city road graph for shortest routes by total distance and a 25-room maze for fewest-door paths, returning step-by-step trace explanations and animating each search in a live web viewer.

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.

Enables MCP-compatible agents to calculate Davis-Bacon/CWHSSA overtime, run 26 deterministic WH-347 compliance audits with penalty exposure, and compile pixel-aligned official DOL WH-347 PDF packets.

Enables local macOS clients to retrieve video metadata, timestamped transcripts, and still frames from Loom share links or IDs through three read-only stdio tools.

Enables MCP clients to inspect PDF structure and extract object-level data such as characters, words, tables, images, fonts, and metadata, with JSON/CSV export and image retrieval.

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 AI clients to control AutoCAD 2027 on macOS in real time through a live GUI bridge and to process drawings headlessly with AcCoreConsole and ezdxf, including drawing and editing geometry, managing layers and blocks, inspecting entities, and exporting DWG, DXF, PDF, or PNG files.

Enables searching, retrieving, summarizing, and comparing official central-bank time series, with resource and prompt access for generating reports and evaluating answers against memory-only responses.

Enables external AI agents and CLI tools to control DaVinci Resolve Free and Studio through a local file-polling Lua bridge, exposing project, timeline, media, marker, and render operations as typed MCP tools.

Enables Claude to work with a corporate mailbox over IMAP/SMTP — listing, searching, reading, sending, forwarding, replying, handling attachments, and moving messages between folders — alongside calendar browsing and event creation/editing over CalDAV. Authentication needs only a single external app password, with no developer-console registration or admin approval.

Enables MCP clients to discover NVIDIA, AMD, and Intel GPUs, monitor utilization, memory, temperature, power, clocks, and processes, retain bounded local history, and estimate whether AI models fit available VRAM before loading them.