
macuse
MCP server by github.com/macuse-app/macuse
Bridges AI assistants with native macOS functionality through the Model Context Protocol (MCP).
About macuse
macuse is an MCP (Model Context Protocol) server published by macuse-app in the official MCP registry. Bridges AI assistants with native macOS functionality through the Model Context Protocol (MCP).
Development happens in the open at github.com/macuse-app/macuse, where the project has earned 30 GitHub stars.
Use macuse with your agent
See the README at github.com/macuse-app/macuse for build and setup instructions, then register the server under mcpServers in your MCP client's configuration.
https://github.com/macuse-app/macuse-mcp/releases/download/v1.2.0/macuse-1.2.0.mcpbFrequently asked questions
- What is macuse?
- macuse is an MCP (Model Context Protocol) server by macuse-app. Bridges AI assistants with native macOS functionality through the Model Context Protocol (MCP).
- How do I connect macuse to Claude, Cursor, or another MCP client?
- Install macuse from its mcpb package (https://github.com/macuse-app/macuse-mcp/releases/download/v1.2.0/macuse-1.2.0.mcpb) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
- Is macuse open source?
- Yes — the source code is public at github.com/macuse-app/macuse, with 30 GitHub stars.
- Can AI agents pay to use macuse?
- Not yet through Loomal — macuse is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
More MCP servers

Decodo MCP
30
Enable your AI agents to scrape and parse web content dynamically, including geo-restricted sites

emem — Earth memory protocol
30
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.

Notify MCP Server
30
MCP Server for notify to Weixin, Telegram, Bark, Lark, Feishu, DingTalk

fortnox
30
MCP server for Fortnox Swedish accounting API integration

Local FAISS MCP Server
30
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
JavaLens
30
63 semantic Java analysis tools via Eclipse JDT: navigation, refactoring, code intelligence.
Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain macuse? Claim this listing free by verifying GitHub ownership, or contact us.