Enables coding agents to search public documentation, retrieve SDK snippets with verification status, and access published pricing and an llms.txt resource in a read-only, credential-free way.

Skybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

CLI + MCP server for reading FeedbackKit dashboard feedback from a coding agent.

A VSCode extension that lets you find and install Agent Skills and MCP Apps to use with GitHub Copilot, Claude Code, and Codex CLI.

Noodle CLI by Noodle Seed — author, run, and deploy declarative MCP servers. Embedding the assistant in your own web app is @noodleseed/assistant.

🚀 Universal SDK for building next-gen MCP servers

Mobile MCP: let AI agents drive your iOS and Android apps. MCP server for simulators, emulators and real devices. Works with Claude Code, Codex, Cursor and any MCP client.

Open source device layer for AI coding agents: a CLI, MCP server, and typed Node.js API to control mobile, web, TV, and desktop apps on devices and simulators, locally or in the cloud.

Self-hosted media fleet operations across Sonarr, Radarr, Plex, and related apps over MCP and CLI.

Enables MCP-capable assistants to build, preview, and publish full-stack web apps by directing a hosted coding agent, with tools for projects, wallet balance, domains, previews, downloads, and GitHub export.

Prove end users to agents and apps: login-links, OIDC clients, and API keys over remote MCP

Enables agents to inspect React Native and Expo apps through React's runtime tree, identify source locations, act on elements without coordinates, and verify outcomes with assertions and runtime evidence.

Browser and desktop automation with an MCP server for AI assistants. Record macros or write JavaScript to automate websites, extract data, and control desktop apps with OCR and image recognition.

Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.

Android automation from code. Test your apps on real phones, script the tasks you repeat, run a shelf of phones, or let an AI agent use one, from Python, Node.js, the CLI, HTTP or Appium clients. No ADB, no USB cable, no root.

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

Enables AI clients to inspect local RAM, commit, page file, disk usage, top processes, disk scans, duplicate files, startup apps, recent changes, and reports. It also generates approval-gated plans for cleanup, file moves, and startup disabling without changing the PC.

An everyday AI assistant you can leave running: in your terminal, on a schedule, and in your chat apps.

Self-hosted work log your team's AI agents write: daily updates drafted from git and the session, tasks, time measured from agent sessions, project context and client access. 39 tools over Streamable HTTP, with personal keys for coding agents and OAuth for the Claude and ChatGPT apps.

Renders validated declarative scene specifications into MP4 videos inside disposable, network-disabled containers, then serves an embedded player with playback controls and diagnostics through MCP Apps. Users can iteratively revise scenes conversationally, with revision history preserved and identical renders reused per account.

Turns a Frappe site into a remote MCP server that AI clients such as Claude can sign in to with OAuth and use curated, task-level tools registered by installed apps. Every call runs as the signed-in user with that user's permissions, with schema-checked arguments and rollback on failure.