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sandraschi

Robotics MCP Server

by sandraschi

robot_manufacturing

Operate 3D printers, CNC machines, and laser cutters from one interface. Send commands, monitor progress, and perform maintenance with conversational AI responses.

Instructions

Manufacturing equipment control with conversational responses.

Provides unified control over 3D printers, CNC machines, and laser cutters with rich conversational responses for natural AI interaction. Supports complete manufacturing workflows from file upload to finished product.

PORTMANTEAU PATTERN RATIONALE: Instead of creating separate tools for each device type and operation, this tool consolidates manufacturing operations into a single interface. This design:

  • Prevents tool explosion (9+ tools -> 1 tool) while maintaining full functionality

  • Enables consistent manufacturing workflow across different device types

  • Provides unified error handling and safety protocols

  • Supports conversational AI interaction with rich response formats

  • Follows FastMCP 2.13+ best practices for feature-rich MCP servers

SUPPORTED OPERATIONS:

  • 3D Printers: Print control, monitoring, maintenance (OctoPrint/Moonraker)

  • CNC Machines: Milling, drilling, cutting operations

  • Laser Cutters: Vector cutting, engraving, material processing

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gcodeNoRaw G-code commands to send to device (string)
speedNoSpeed/feed rate settings: - 3D printers: Print speed (mm/s) - CNC machines: Feed rate (mm/min) - Laser cutters: Cutting speed (mm/min)
actionYesSpecific action to perform (depends on category and device_type): Control actions: "start_print", "stop_print", "pause_print", "resume_print", "set_temperature", "home_axes", "move_head", "send_gcode", "load_filament", "unload_filament" Monitor actions: "get_status", "get_progress", "get_temperatures", "get_webcam", "get_files" Maintenance actions: "level_bed", "calibrate_pid", "clean_nozzle", "update_firmware"
categoryYesOperation category. MUST be one of: - "control": Direct device control (start/stop/move operations) - "monitor": Status monitoring and data retrieval - "maintenance": Calibration, cleaning, firmware updates
positionNoPosition coordinates as dict (X, Y, Z in mm): - "x": X-axis position - "y": Y-axis position - "z": Z-axis position
device_idYesUnique identifier for the manufacturing device (e.g., "printer_01", "cnc_mill_01", "laser_pro_01")
file_pathNoPath to file for printing/cutting operations (STL/G-code/SVG files)
device_typeYesType of manufacturing equipment. MUST be one of: - "3d_printer": FDM/FFF 3D printers (OctoPrint, Moonraker, Repetier) - "cnc_machine": CNC milling/drilling machines - "laser_cutter": Laser cutting/engraving systems
temperatureNoTemperature settings as dict (3D printers): - "hotend": Nozzle temperature (°C) - "bed": Build plate temperature (°C) - "chamber": Chamber temperature (°C)
monitor_typeNoWhat to monitor (optional, defaults to "status"): - "status": Current device state and health - "temperature": Temperature readings (3D printers) - "progress": Operation progress and time remaining - "webcam": Live camera feed URL (if available)
maintenance_actionNoMaintenance operation to perform (optional)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the disclosure burden. It does add useful behavioral context such as 'conversational responses', 'rich workflow support', and 'unified error handling and safety protocols'. However, it never states that control or maintenance actions may physically mutate hardware, or whether certain actions are irreversible, which is important for such a tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening line is useful, but the description is much longer than necessary. The PORTMANTEAU PATTERN RATIONALE section is mostly non-operational meta-commentary, including references to avoiding tool explosion and FastMCP best practices, which do not help an AI agent invoke the tool. It could be cut down to a concise summary and support operations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex 11-parameter tool with categories and enums, the description and schema provide a fairly complete operational frame, and the output schema lets return value semantics be explained elsewhere. It falls short by not stating any prerequisites, hardware/driver assumptions, or risk/safety guardrails beyond 'safety protocols' as a phrase.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% parameter description coverage, with detailed explanations for action, category, device_type, speed, position, and temperature. The description only adds high-level grouping in the SUPPORTED OPERATIONS section and doesn't uniquely compress the parameters. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the operation verb ('control') and the resource ('3D printers, CNC machines, and laser cutters'), and explains that it consolidates manufacturing workflows. It differentiates from robot, drone, and simulation siblings via its explicit device-type scope and 'unified control' framing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool via the supported operations list, but it gives no explicit when-to-use guidance or exclusions. With many sibling tools defined at a different. An agent has no explicit routing cue to prefer this tool over those, despite the clear device scope.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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