graph-of-skills

Browserbase MCP Server gives compatible assistants a small set of tools for starting cloud browser sessions, navigating pages, performing actions, observing interactive elements, and extracting information. The hosted HTTP endpoint is the easiest setup, while self-hosted deployments can run through NPM or Docker. These deployments still require a Browserbase API key and project ID, and choosing a model other than the default also requires that provider's API key.

Skyll exposes a REST API and MCP server that searches multiple skill sources, ranks matches, and returns complete SKILL.md content with optional references. Agents can choose and load instructions during a task instead of relying on preinstalled skills. A hosted service is available, or teams can self-host the server for more control.

agent-terminal lets an AI agent launch interactive CLI applications, capture their screen as ASCII text, and send keyboard input without a display. It can be used as an npm library or exposed through an MCP server for CLI testing, monitoring, and build automation. Built-in safeguards include command allowlists, workspace path validation, environment sanitization, input checks, and session limits.

Better OpenCode MCP exposes the OpenCode CLI to Claude Code and other MCP clients, enabling selectable models and non-blocking long-running tasks. Calls return a task ID that can be monitored or supplied with additional input, while process pooling, timeouts, and persisted task state help manage concurrency and recovery. It requires Node.js and a working OpenCode installation.