About
A lightweight MCP server that lets Claude Desktop send text content straight to a locally connected printer and list available printers on the system.
Capabilities
Claude Printer MCP – Overview
The Claude Printer MCP fills a practical gap for developers and power users who rely on Claude Desktop to manage documents directly from the AI interface. Traditional workflows require exporting a file, opening it in a local editor or PDF viewer, and then sending it to the printer. This server eliminates those intermediate steps by exposing a lightweight HTTP API that Claude can invoke, allowing the assistant to print text or any supported file format on a local Mac printer with a single command.
At its core, the server implements two straightforward yet powerful tools: and . The former accepts a file path or raw text, validates the input against the local filesystem, and forwards it to the operating system’s printing subsystem. The latter queries the macOS printer queue, returning a JSON array of available printers along with basic attributes such as name and status. By making these capabilities available through MCP, developers can embed printing logic directly into conversational flows—e.g., “Print the latest sales report” or “Show me which printers are online.” This tight integration turns Claude from a passive information provider into an active production assistant that can complete tangible tasks on the user’s machine.
Key features include:
- Zero‑configuration printing: No need to configure network printers or install additional drivers; the server leverages macOS’s native printing APIs.
- Dynamic printer discovery: The tool automatically reflects any changes in the system’s printer list, enabling real‑time decision making.
- Secure local execution: Since the MCP runs locally on the user’s machine, all print jobs are confined to the device, preserving privacy and compliance with local security policies.
- Extensible foundation: The project’s modular design allows developers to add new tools (e.g., print preview, job status queries) without altering the core server logic.
Real‑world scenarios where this MCP shines include:
- Office automation: An employee can ask Claude to print meeting minutes, invoices, or compliance documents without leaving the chat window.
- Educational environments: Teachers can trigger classroom handouts or test papers directly from Claude, streamlining material distribution.
- Rapid prototyping: Developers can print logs or configuration files on the fly during debugging sessions, reducing context switching.
Integration with AI workflows is straightforward. Once the server is running locally, a developer registers it in Claude Desktop using . The assistant then gains access to the two tools as part of its action set. When a user issues a printing command, Claude formulates the appropriate tool call, supplies the required parameters, and receives confirmation once the job is queued. This seamless bridge between conversational intent and system-level execution exemplifies how MCP can extend the reach of AI assistants into the physical world.
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