v0.1.7 · no license
Scored, maintainable locators from a live page for AI coding agents, with checks and repairs.
v1.0.0 · MIT License
Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.
v0.1.0 · MIT License
Lets AI coding agents build, test, and lint Android projects with Gradle, control devices and emulators via adb, automate UI through screenshots and input injection, and use a live IDE bridge for refactoring, code inspection, and run configurations. Works with any MCP client over stdio or authenticated HTTP.
v0.1.0 · MIT License
Enables coding agents to record product demos, changelog GIFs, help-center guides, and bug repros by driving a signed-in browser or Mac window, then rendering branded MP4 and GIF outputs with delivery checks.
v1.0.0 · MIT License
Enables AI clients to create passwordless document intake requests with itemized checklists, dispatch secure upload links, and track completion status. Also supports reviewing and approving or rejecting uploaded files, fetching short-lived download links, and managing client records and reusable checklist templates.
v0.6.2 · MIT License
Exposes the Jupyter notebooks open in VS Code to MCP-compatible AI agents, letting them edit cells in the open editor and execute them in the live kernel without file conflicts. Agents can make partial edits, track stale cells, inspect variables, and manage kernels while preserving the user's interpreter choices and unsaved work.
v1.0.0 · MIT License
Enables Claude and other MCP clients to query live online-store product, order, sales, stock, and customer data in plain English, with secure read-only defaults, masked customer information, capped results, and audit logging.
v0.1.0 · MIT License
Enables Codex to delegate subtasks to concurrent background coding agents that can each run on any model provider supported by Pi, such as DeepSeek, Anthropic, Gemini, OpenRouter, or local models. Exposes MCP tools for listing models, spawning and waiting on agents, sending follow-ups, and aborting, backed by a live local web panel showing status, token usage, and streaming output.