Nova Act MCP server

Amazon Nova Act is an AWS service for building and running AI agents that automate browser-based workflows from natural-language instructions and Python code. Its agentic loops observe pages and take sequential actions for data entry, extraction, search, checkout flows, and web QA testing, with support for human-in-the-loop escalation. Sessions group browser or API-client interactions, while workflows orchestrate tasks and can connect to external tools through API calls, MCP, and agentic frameworks. Nova Act provides a Python SDK, MCP server, Chrome extension, IDE extension, web playground, and UI verification capabilities, supports coding-agent workflows, and can be deployed to and monitored through AWS.

Apify MCP Server is an MCP server from Apify that lets AI assistants use Apify Actors as tools for web search, data extraction, scraping, browsing, and automation. Its hosted endpoint at mcp.apify.com supports Streamable HTTP and OAuth, while a local stdio distribution is available through the @apify/actors-mcp-server package. The server dynamically discovers Actors from the Apify Store, loads their input schemas, runs them, and exposes results through Apify datasets and key-value stores. It also provides tools for searching Apify documentation, inspecting and managing Actor runs, tasks, schedules, builds, and source files. Tool selection can be restricted through URL parameters or CLI flags, and the server supports agentic payment mechanisms including AGI, direct x402, and Skyfire.

Awesome MCP Servers is a curated collection of Model Context Protocol (MCP) server implementations, maintained as a GitHub repository with a synchronized web directory. It catalogs production-ready and experimental servers that let AI models interact with local and remote resources through standardized interfaces, including file access, databases, API integrations, browser automation, cloud platforms, research services, and other contextual tools. The repository organizes entries by capability, programming language, deployment scope, operating system, and whether an implementation is official.

Agent Launcher is a local desktop workspace for configuring and running existing coding-agent command-line interfaces. It detects installed CLI binaries, links or installs supported agents, applies account or provider profiles, and runs them in an embedded terminal or chat view without automatically reinstalling or updating already installed CLIs. It supports project-aware sessions by launching an agent in a selected project directory, synchronizes provider settings with CLI-native configuration files and environment variables, and performs a minimal model request to check credentials, endpoints, models, network access, and account status. The application reads local conversation histories in JSONL or SQLite formats, can resume or delete local sessions, displays installed MCP servers and Skills, and summarizes locally stored usage data. Agent Launcher distributes macOS, Windows, and Linux builds and is released under the MIT License. It is local-first rather than offline-only: launched agents send requests to the provider or relay selected by the active profile, while API keys are stored as plaintext in local configuration files and masked only in the interface.

mcpc is Apify's open-source universal command-line client for the Model Context Protocol (MCP). It maps MCP operations for tools, prompts, resources, asynchronous tasks, skills, notifications, and logging to shell commands, communicating with local stdio servers and remote Streamable HTTP servers. Persistent named sessions keep connections, caches, notifications, and authentication state available across commands. The CLI supports progressive tool discovery through grep and compact tool listings, interactive shells, JSON output for jq, xargs, and shell pipelines, schema validation for scripts and CI, OAuth 2.1 with PKCE and bearer authentication, and a local proxy mode that keeps upstream credentials and OAuth tokens outside AI sandboxes. Its single configuration and credential store can be reused by shell-based AI coding agents, with credentials stored in the operating system keychain. It is distributed as the `@apify/mcpc` npm package.