Computer Use AI SDK
It is an open‑source MCP server that controls a computer natively on macOS, using underlying desktop‑rendered elements instead of pixel‑based vision.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 92 of 226
It is an open‑source MCP server that controls a computer natively on macOS, using underlying desktop‑rendered elements instead of pixel‑based vision.
A Model Context Protocol server that turns Wazuh SIEM workflows into natural conversation with any AI assistant.
MCP 3D Printer Server is a Model Context Protocol server that connects MCP clients (like Claude) with 3D printer management systems via their APIs.
This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode’s development tools and language features to AI assistants. 1 tools…
# Bauta connector Connect your AI client to **[Bauta](https://bauta.app)** — a remote MCP server that deploys HTML/React artifacts from your AI client to hosted…
PIXRA is a reliability-focused framework designed for real-world applications, enabling trusted agent workflows through advanced reliability features…
MaxMSP-MCP Server is a Model Context Protocol (MCP) implementation that lets large language models directly understand, explain, and generate Max…
Webhooks designed for agents. Create inboxes, wait for events, list and extract them.
MCPBench is an evaluation framework for MCP servers. It supports evaluating three types of servers (Web Search, Database Query, and GAIA) and is…
Local Firebase emulators for coding agents: Firestore, Auth, Storage, Functions, logs, rules checks.
A standalone Windows MCP server that gives Claude Google search and web research capabilities, powered by SerpAPI. 4 tools, with
Deterministic CVE and supply chain risk data for any package or infrastructure component, returned as fields an AI agent or coding assistant can branch…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.