Enables an MCP-capable AI chat to control selected tabs in a separate persistent Chromium browser, protected by OAuth, per-tab grants, and local approvals.

Enables CLI agents to fold source documents into a cited Markdown knowledge base using an ontology, exposing tools to list, read, search, lint, and write pages only after user approval.

Enables AI assistants to design coffee brew profiles from bag photos, push them to a Wi-Fi-connected smart brewer, and keep a searchable library of recipes, versions, ratings, gear and tastings. Also lets assistants manage the brewer's active menu and scheduled brews, and preview, import or share brew.link profiles.

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.

Enables MCP clients to create and control persistent, PTY-backed terminal sessions on macOS: launch commands and interactive programs, read output incrementally via byte cursors, send keystrokes, wait on conditions, and detect running/awaiting-input/exited states. Sessions run inside a Seatbelt sandbox with command policies, human approvals, secret redaction, and hash-chained audit logging.

Enables AI agents to run Meta (Facebook and Instagram) advertising: pull spend, CPA, ROAS and breakdown reports, audit account health, build and boost campaigns, ad sets and ads, and pause or adjust budgets, all starting paused until the user approves going live. Also supports brand memory, change logs and an optional daily spend cap.

Enables agents to probe URLs and classify bot-wall responses with vendor and signal evidence, perform offline classification, scan for exposed key-like material, and run owner-side access audits through stdio tools.

Enables Claude to read intervals.icu training data — wellness metrics, completed activities with per-lap and time-series detail, and planned events with planned-versus-completed reconciliation — and to create, update, or delete planned run and bike workouts on the intervals.icu calendar, which syncs to Garmin Connect. Writes are guarded by dry-run defaults and explicit approval.

Enables AI agents to read a user's SRCE Moodle account data, including grades, deadlines, calendar events, course files, forum posts, and messages, with optional private-message sending gated by phone approval. It can run as a Cloudflare Worker or self-hosted via Node or Docker.

Experimental Windows-first MCP server for Adobe Photoshop, with guarded brush-based painting and direct document and layer tools through a local UXP bridge. Requires local Photoshop on Windows for execution; Linux supports MCP catalog introspection only.

Enables two AI agents to share a persistent task mailbox over remote MCP, so one can leave work, the other can claim and complete it, and results are written back with optional webhook wake-ups.

Enables teams to access every enabled MCP tool through one authenticated URL, with per-user attribution and audit logging, from MCP clients or a dashboard chat agent.

Enables agents to grade any public GitHub repository, returning overall and category scores plus prioritized fixes, and to list all available checks.

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

A Claude Code skill that scaffolds ready-to-run LangChain Deep Agents and dcode CLI agents into any project.

Process transparency for agentic work.

MCP server for JADX-AI Plugin

Open-source adversary emulation for AI agents and MCP servers.

Browser automation and computer use for AI agents. One CLI and MCP server for your signed-in browser, native macOS apps, and real iPhones.

Self-hosted memory service for AI agents that work in teams, written in Rust: layered L0→L3 memory, async LLM distillation, hybrid BM25 + vector recall, and department/team/member isolation. SQLite or Postgres, any OpenAI-compatible LLM.

Enables an LLM to orchestrate multiple downstream MCP tools inside one isolated sandbox in a single turn, filtering intermediate results in memory and returning only the final output to cut context tokens.

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.

Turns any API with an OpenAPI 3.0/3.1/3.2 spec into callable MCP tools: it generates a tool per supported operation, validates arguments, and forwards authenticated requests, served over stdio or local HTTP or embedded as a library. No hand-written tool per endpoint is required.

Enables MCP clients such as ChatGPT to execute shell commands, manage files, and view or capture images on Mac and Linux hosts. Supports terminal-based connection approval, time-limited access, and output controls.