MCP 3D Printer Server

✨ What's New / Significant Updates (as of last session)

Dual Local Transports: Added explicit stdio and streamable-http runtime modes with environment-based transport selection.
Bambu Reliability Pass: Fixed Bambu argument wiring bugs, added FTP-backed file operations, improved status refresh behavior, and implemented practical command paths for startJob, setTemperature, and print_3mf.
Blender Bridge Tooling: Added blender_mcp_edit_model with optional execution mode for model-edit collaboration workflows.
Transport Behavior Tests: Added real behavior tests for both transports (initialize, tools/list, success + failing tools/call, origin rejection).
Docker Modernization: Updated Docker build flow to work without BuildKit-specific features and verified streamable HTTP initialization in container smoke testing.

🗺️ Roadmap / TODO

Achieve Feature Parity: Bring functionality (status detail, file operations, direct printing where possible, preset handling) for OctoPrint, Klipper, Duet, Repetier, Prusa Connect, and Creality Cloud up to the level of robustness planned for the Bambu implementation.
Implement Full Bambu MQTT Status: Refactor getStatus for Bambu to subscribe to MQTT reports and maintain real-time state.
Implement Robust AMS Mapping: Replace placeholder logic; correctly parse and use AMS mapping from .3mf slicer config or user overrides for the MQTT print command.
**Implement .3mf Print Overrides:** Add logic to the print_3mf tool to handle user-provided overrides (e.g., calibration flags) and potentially common slicer settings if feasible via MQTT/G-code.
Calculate MD5 Hash: Add logic to calculate and include the MD5 hash of the .3mf file in the MQTT print command (optional but recommended by protocol).
Refactor Bambu File Ops: Investigate replacing bambu-js FTP operations (getFiles, uploadFile) with direct MQTT methods if possible/stable, or contribute FTPS support to bambu-js.
Add Preset Discovery Logic: Improve preset resource listing (currently lists based on potential filenames, could parse index files if they exist).
**Expand .3mf Support:** Add .3mf printing support for other printer types where applicable.
Error Handling & Reporting: Enhance MQTT error handling and reporting of print progress/completion.
Testing: Conduct thorough runtime testing of all new Bambu features.

Click to expand Table of Contents

Description

This is a server that allows MCP users to connect with the API endpoints of these 3D Printers:

OctoPrint
Klipper (Moonraker)
Duet
Repetier
Bambu Labs
Prusa Connect
Creality/Ender

This server is a Model Context Protocol (MCP) server for connecting Claude with 3D printer management systems. It allows MCP to interact with 3D printers through the APIs of various printer management systems such as OctoPrint, Klipper (via Moonraker), Duet, Repetier, and Bambu Labs printers.

Note on Resource Usage: This MCP server includes advanced 3D model manipulation features that can be memory-intensive when working with large STL files. Please see the "Limitations and Considerations" section for important information about memory usage and performance.

Features

Get printer status (temperatures, print progress, etc.)
List files on the printer
Upload G-code files to the printer
Start, cancel, and monitor print jobs
Set printer temperatures
Advanced STL file manipulation:
Extend base for better adhesion
Scale models uniformly or along specific axes
Rotate models around any axis
Translate (move) models
Modify specific sections of STL files (top, bottom, center, or custom)
Comprehensive STL analysis with detailed model information
Generate multi-angle SVG visualizations of STL files
Real-time progress reporting for long operations
Error handling with detailed diagnostics
Slice STL files to generate G-code
Confirm temperature settings in G-code files
Complete end-to-end workflow from STL modification to printing
Print .3mf files directly on Bambu Lab printers (via MQTT command)
Read Bambu Studio preset files (printer, filament, process) as resources

Installation

Prerequisites

Node.js 18 or higher
npm or yarn

Install from npm

bash

npm install -g mcp-3d-printer-server

Install from source

bash

git clone https://github.com/dmontgomery40/mcp-3d-printer-server.git
cd mcp-3d-printer-server
npm install
npm link  # Makes the command available globally

Running with Docker

You can also run the server using Docker and Docker Compose for a containerized environment.

1. Ensure you have Docker and Docker Compose installed.

2. Copy .env.example to .env and configure your settings.

3. Build and run the container:

bash

docker-compose up --build -d

Using Slicers with Docker

Please note that the default Docker setup cannot directly use a slicer installed on your host machine. Mounting the slicer executable directly from the host into the container is unreliable due to operating system and library differences between your host and the container.

The recommended approach is to **install your preferred slicer *inside* the Docker image**. This makes the container self-sufficient.

To do this, you will need to modify the Dockerfile. Here's a conceptual example of how you might add PrusaSlicer or OrcaSlicer (specific commands may vary depending on the slicer, its dependencies, and current Alpine packages):

dockerfile

# ... other Dockerfile commands ...

# Example: Install PrusaSlicer or OrcaSlicer (adjust command as needed)
# Check Alpine package repositories first (e.g., apk add prusaslicer or apk add orcaslicer)
# If not available, download and install manually (e.g., AppImage):
# RUN apk add --no-cache fuse # FUSE might be needed for AppImages
# RUN wget https://example.com/path/to/OrcaSlicer_Linux_Vxxxx.AppImage -O /usr/local/bin/orcaslicer && \
#     chmod +x /usr/local/bin/orcaslicer

# Set the SLICER_PATH env var accordingly in docker-compose.yml or when running
# Example for installed executable:
ENV SLICER_PATH=/usr/local/bin/orcaslicer 

# ... rest of Dockerfile ...

After modifying the Dockerfile, rebuild your image (docker-compose build). You'll also need to ensure the SLICER_PATH environment variable in your .env file or docker-compose.yml points to the correct path *inside the container* (e.g., /usr/local/bin/orcaslicer). Set SLICER_TYPE to orcaslicer as well.

Apologies for not including a specific slicer out-of-the-box, but given the wide variety of slicers (PrusaSlicer, OrcaSlicer, Cura, etc.) and configurations available, pre-installing one would unnecessarily bloat the image for many users. If a particular slicer becomes a very common request, I can certainly look into adding official support for it in a future version.

Configuration

Create a .env file in the directory where you'll run the server or set environment variables:

env

# Required for authentication with your printer management system
API_KEY=your_api_key_here

# Default printer connection settings
PRINTER_HOST=localhost
PRINTER_PORT=80 # Port for non-Bambu HTTP APIs
PRINTER_TYPE=octoprint  # Options: octoprint, klipper, duet, repetier, bambu, prusa, creality

# Optional: Directory for temporary files
TEMP_DIR=/path/to/temp/dir

# Bambu Labs specific configuration
BAMBU_SERIAL=your_printer_serial # REQUIRED for Bambu
BAMBU_TOKEN=your_access_token    # REQUIRED for Bambu

# Slicer configuration (for slice_stl tool)
SLICER_TYPE=prusaslicer  # Options: prusaslicer, cura, slic3r, orcaslicer
SLICER_PATH=/path/to/slicer/executable
SLICER_PROFILE=/path/to/slicer/profile

# Optional: Path to Bambu Studio user config dir (for loading presets)
# Example macOS: /Users/your_user/Library/Application Support/BambuStudio/user/YOUR_USER_ID
# Example Windows: C:\Users\your_user\AppData\Roaming\BambuStudio\user\YOUR_USER_ID
# Example Linux: /home/your_user/.config/BambuStudio/user/YOUR_USER_ID
BAMBU_STUDIO_CONFIG_PATH=

# MCP transport configuration
MCP_TRANSPORT=stdio             # Options: stdio, streamable-http
MCP_HTTP_HOST=127.0.0.1
MCP_HTTP_PORT=3000
MCP_HTTP_PATH=/mcp
MCP_HTTP_STATEFUL=true
MCP_HTTP_JSON_RESPONSE=true
MCP_HTTP_ALLOWED_ORIGINS=http://localhost

# Optional bridge command for blender_mcp_edit_model execute=true mode
BLENDER_MCP_BRIDGE_COMMAND=

Usage with Claude Desktop

1. Edit your Claude Desktop configuration file:

json

{
  "mcpServers": {
    "3dprint": {
      "command": "mcp-3d-printer-server",
      "env": {
        "API_KEY": "your_api_key_here",
        "PRINTER_HOST": "your_printer_ip",
        "PRINTER_TYPE": "octoprint"
      }
    }
  }
}

2. For Bambu Labs printers:

json

{
  "mcpServers": {
    "3dprint": {
      "command": "mcp-3d-printer-server",
      "env": {
        "PRINTER_HOST": "your_printer_ip",
        "PRINTER_TYPE": "bambu",
        "BAMBU_SERIAL": "your_printer_serial",
        "BAMBU_TOKEN": "your_access_token"
      }
    }
  }
}

3. Restart Claude Desktop

4. Connect to your printer through Claude

Supported Printer Management Systems

OctoPrint

OctoPrint is a popular web interface for 3D printers. It provides a REST API for controlling the printer.

Default port: 80 (http) or 443 (https)
Authentication: API key required

Klipper (via Moonraker)

Klipper is a firmware for 3D printers that works with the Moonraker API server.

Default port: 7125
Authentication: Depends on your Moonraker configuration

Duet

Duet is a control board for 3D printers with its own web interface (DuetWebControl).

Default port: 80 (http) or 443 (https)
Authentication: Depends on your Duet configuration

Repetier

Repetier-Server is a host software for 3D printers.

Default port: 3344
Authentication: API key required

Bambu Labs

Bambu Lab printers use MQTT for status and control and FTP for file operations.

Authentication: Serial number and access token required (set BAMBU_SERIAL and BAMBU_TOKEN)
Requirements: Printer must be on the same network or have cloud connection enabled
Compatible with: X1C, P1S, P1P, A1, and other Bambu Lab printers

Finding Your Bambu Printer's Serial Number and Access Token

To connect to your Bambu Lab printer, you need two things:

1. Printer Serial Number:

Look on the back or bottom of your printer for a sticker with a serial number (typically starts with "01P" or "01A" followed by numbers/letters)
Alternatively, open Bambu Studio, connect to your printer, go to Device > Device Management, and view your printer's information

2. Access Token:

The access token is a security code needed to connect directly to your printer
For P1 Series printers: Go to the touchscreen, select Settings > Network > LAN Mode, and you'll see the access code
For X1 Series printers: Go to the touchscreen, select Settings > Network > LAN Mode, and enable LAN Mode to see the access code
For A1 Mini: Use the Bambu Handy app to connect to your printer, then go to Settings > Network > LAN Mode

Note: If your printer is not on the same local network or you can't find the access token, you may need to update your printer's firmware to the latest version to enable LAN Mode.

Bambu Communication Notes (MQTT & FTP)

MQTT: This server uses the local MQTT protocol (port 8883, TLS) based on community findings (e.g., OpenBambuAPI) to send commands like starting prints and cancelling jobs.
FTP: File listing and uploading currently rely on the FTP server running on the printer (via the bambu-js library helper). Note: This FTP connection might be unsecured (plain FTP) based on current library limitations. Use with awareness of your network security.

Prusa Connect

Prusa Connect is Prusa's own cloud-based solution for managing their printers.

Default port: 80 (http) or 443 (https)
Authentication: API key required
Compatible with: Prusa MK4, Prusa Mini, Prusa XL, and other Prusa printers with Prusa Connect

Setting up Prusa Connect

1. Make sure your Prusa printer is updated to the latest firmware

2. Connect your printer to your Wi-Fi network

3. Create a Prusa Connect account and register your printer

4. Generate an API key from the Prusa Connect web interface under Settings > API Access

Creality Cloud

Creality Cloud is Creality's management system for their printers.

Default port: 80 (http) or 443 (https)
Authentication: Bearer token required
Compatible with: Ender series, CR series, and other Creality printers with network capabilities

Setting up Creality Cloud

1. Install the Creality Cloud app on your mobile device

2. Create an account and add your printer

3. Enable local network access for your printer

4. Generate a token from the Creality Cloud app under Settings > Developer Options

Available Tools

Click to expand STL Manipulation Tools

STL Manipulation Tools

Memory Usage Warning: The following STL manipulation tools load entire 3D models into memory. For large or complex STL files (>10MB), these operations can consume significant memory. When using these tools within the MCP environment, be mindful of memory constraints.

get_stl_info

Get detailed information about an STL file, including dimensions, vertex count, and bounding box.

json

{
  "stl_path": "/path/to/file.stl"
}

extend_stl_base

Extend the base of an STL file by a specified amount.

json

{
  "stl_path": "/path/to/file.stl",
  "extension_inches": 2
}

scale_stl

Scale an STL model uniformly or along specific axes.

json

{
  "stl_path": "/path/to/file.stl",
  "scale_factor": 1.5
}

Or for non-uniform scaling:

json

{
  "stl_path": "/path/to/file.stl",
  "scale_x": 1.2,
  "scale_y": 1.0,
  "scale_z": 1.5
}

rotate_stl

Rotate an STL model around specific axes (in degrees).

json

{
  "stl_path": "/path/to/file.stl",
  "rotate_x": 45,
  "rotate_y": 0,
  "rotate_z": 90
}

translate_stl

Move an STL model along specific axes (in millimeters).

json

{
  "stl_path": "/path/to/file.stl",
  "translate_x": 10,
  "translate_y": 5,
  "translate_z": 0
}

merge_vertices

Merge vertices that are closer than a specified tolerance. Helps close small gaps and can slightly simplify the mesh.

json

{
  "stl_path": "/path/to/model.stl",
  "tolerance": 0.01 // Optional, default = 0.01mm
}

center_model

Translate the model so the center of its bounding box is at the world origin (0,0,0).

json

{
  "stl_path": "/path/to/model.stl"
}

lay_flat

Attempt to identify the largest flat surface of the model (that isn't already facing directly up or down) and rotate the model so this face is oriented downwards on the XY plane (Z=0). Useful for orienting models for printing.

json

{
  "stl_path": "/path/to/model.stl"
}

modify_stl_section

Apply a specific transformation to a selected section of an STL file. This allows for detailed modifications of specific parts of a model.

json

{
  "stl_path": "/path/to/file.stl",
  "section": "top",
  "transformation_type": "scale",
  "value_x": 1.5,
  "value_y": 1.5, 
  "value_z": 1.5
}

For custom section bounds:

json

{
  "stl_path": "/path/to/file.stl",
  "section": "custom",
  "transformation_type": "rotate",
  "value_x": 0,
  "value_y": 0, 
  "value_z": 45,
  "custom_min_x": -10,
  "custom_min_y": 0,
  "custom_min_z": -10,
  "custom_max_x": 10,
  "custom_max_y": 20,
  "custom_max_z": 10
}

generate_stl_visualization

Generate an SVG visualization of an STL file from multiple angles (front, side, top, and isometric views).

json

{
  "stl_path": "/path/to/file.stl",
  "width": 400,
  "height": 400
}

slice_stl

Slice an STL file to generate G-code.

json

{
  "stl_path": "/path/to/file.stl",
  "slicer_type": "prusaslicer",
  "slicer_path": "/path/to/prusaslicer",
  "slicer_profile": "/path/to/profile.ini"
}

confirm_temperatures

Confirm temperature settings in a G-code file.

json

{
  "gcode_path": "/path/to/file.gcode",
  "extruder_temp": 200,
  "bed_temp": 60
}

process_and_print_stl

Process an STL file (extend base), slice it, confirm temperatures, and start printing.

json

{
  "stl_path": "/path/to/file.stl",
  "extension_inches": 2,
  "extruder_temp": 200,
  "bed_temp": 60,
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY"
}

Note: Automatic orientation for optimal printing (minimizing supports, etc.) is a complex task typically handled by slicer GUIs (like OrcaSlicer or PrusaSlicer) and is not implemented in this server.

Click to expand Printer Control Tools

Printer Control Tools

get_printer_status

Get the current status of the 3D printer.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY"
}

For Bambu printers, this currently only confirms MQTT connection.

list_printer_files

List files available on the printer.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY"
}

For Bambu printers, lists files in the gcodes directory via FTP.

upload_gcode

Upload a G-code file to the printer.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY",
  "filename": "my_print.gcode",
  "gcode": "G28\nG1 X100 Y100 Z10 F3000\n...",
  "print": true
}

For Bambu printers, uploads to the gcodes directory via FTP. Cannot start print automatically.

start_print

Start printing a file that is already on the printer.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY",
  "filename": "my_print.gcode"
}

Not recommended for Bambu printers. Use print_3mf for Bambu .3mf files.

cancel_print

Cancel the current print job.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY"
}

For Bambu printers, sends the stop_print command via MQTT.

set_printer_temperature

Set the temperature of a printer component.

json

{
  "host": "192.168.1.100",
  "type": "octoprint",
  "api_key": "YOUR_API_KEY",
  "component": "extruder",
  "temperature": 200
}

Not supported for Bambu printers via direct MQTT commands.

Click to expand Bambu-Specific Tools

Bambu-Specific Tools

print_3mf

Uploads a .3mf file to a Bambu printer via FTP and initiates the print job via an MQTT command. Allows overriding some print parameters like AMS mapping.

json

{
  "three_mf_path": "/path/to/your_model.3mf",
  "host": "your_bambu_ip", // Optional if default is set
  "bambu_serial": "YOUR_SERIAL", // Optional if default is set
  "bambu_token": "YOUR_TOKEN", // Optional if default is set
  // Optional Overrides:
  "use_ams": true, // Default: true
  "ams_mapping": [0, 1, 2, 3], // Array of AMS slot indices to use
  "bed_leveling": true, // Default: true
  "flow_calibration": false, // Default: false
  "vibration_calibration": false, // Default: false
  "timelapse": false // Default: false
}

Note: Overriding slicer settings like layer height or temperature via this tool is not supported by the printer's MQTT command. Apply those changes before generating the .3mf file.

Available Resources

Click to expand Printer Resources

Printer Resources

printer://{host}/status - Current status of the 3D printer (limited for Bambu currently)
printer://{host}/files - List of files available on the 3D printer (FTP for Bambu)
printer://{host}/file/{filename} - Content of a specific G-code file (checks existence only for Bambu)

Click to expand Bambu Preset Resources

Bambu Preset Resources

If the BAMBU_STUDIO_CONFIG_PATH environment variable is set to your Bambu Studio user settings directory, you can read your saved presets.

preset://bambu/machine/{preset_name} - Reads a machine preset file (e.g., Bambu Lab P1S 0.4 nozzle.json)
preset://bambu/filament/{preset_name} - Reads a filament preset file (e.g., Generic PLA.json)
preset://bambu/process/{preset_name} - Reads a process preset file (e.g., 0.20mm Standard @BBL P1S.json)

Example Usage:

"Read the content of my Bambu process preset named '0.16mm Optimal @BBL P1S'"

(Claude would call ReadResource with preset://bambu/process/0.16mm%20Optimal%20%40BBL%20P1S)

Example Commands for Claude

Here are some example commands you can give to Claude after connecting the MCP server:

Printer Control

"What's the current status of my 3D printer?"
"Show me the list of files on my printer."
"Upload this G-code to my printer: [G-code content]"
"Start printing the file named 'benchy.gcode'."
"Cancel the current print job."
"Set the extruder temperature to 200°C."
"Set the bed temperature to 60°C."

STL Manipulation and Printing

"Take this STL file and extend the base by 2 inches, then send to slicer and queue up in my printer."
"Extend the base of model.stl by 1.5 inches."
"Scale this STL file by 150% uniformly."
"Scale model.stl to be twice as wide but keep the same height."
"Rotate this model 90 degrees around the Z axis."
"Move this STL model up by 5mm to create a gap underneath."
"Can you modify just the top part of this model to make it 20% larger?"
"Analyze this STL file and tell me its dimensions and details."
"Generate a visualization of this STL file so I can see what it looks like."
"Create SVG visualizations of my model from different angles."
"Make the base of this model wider without changing its height."
"Slice the modified STL file using PrusaSlicer."
"Confirm that the temperatures in the G-code are 200°C for the extruder and 60°C for the bed."
"Process this STL file, make the base 2 inches longer, slice it, and start printing, but confirm the temperatures first."
"Print ~/Downloads/my_model.3mf on the Bambu printer."
"Upload ~/Desktop/calibration_cube.3mf to the Bambu printer using AMS slots 0 and 2, and turn off bed leveling."
"Cancel the print job on my Bambu P1S."
"What are the settings in my Bambu filament preset 'Generic PETG'?"
"Show me my Bambu process presets."

Bambu Lab Printer Limitations

Due to the nature of the Bambu Lab printer API, there are some limitations:

1. Printable 3MF requirement: print_3mf requires a sliced 3MF that includes at least one Metadata/plate_.gcode entry so the server can compute MD5 and start the job correctly.

2. AMS behavior caveat: The current bambu-js project-file command path always sends use_ams=true; passing use_ams=false is treated as best-effort and surfaced with a warning.

3. Temperature control path: Temperature updates are implemented through G-code command dispatch (M104/M140) over MQTT, so effective behavior still depends on printer firmware acceptance and current printer state.

4. File transfer channel: File operations use Bambu's FTPS path (port 990) via bambu-js. This is more secure than plain FTP, but still assumes a trusted local network environment and library-managed TLS behavior.

5. Direct start path scope: startJob currently targets .gcode files on printer storage; .3mf jobs should be initiated through print_3mf so metadata and plate selection are handled.

6. Status consistency: Status reads force a pushall refresh when possible, but complete real-time, event-stream status semantics across all Bambu models still need deeper hardening.

Limitations and Considerations

Memory Usage

Large STL Files: Processing large or complex STL files can consume significant memory. The entire STL geometry is loaded into memory during operations.
Multiple Operations: Running multiple STL operations in sequence (especially on large files) may cause memory to accumulate if garbage collection doesn't keep up.
MCP Environment: Since this runs as an MCP server, be aware that Claude's MCP environment has memory constraints. Complex operations on very large STL files may cause out-of-memory issues.

STL Manipulation Limitations

Section Modification: The section-specific modification feature works best on simpler geometries. Complex or non-manifold meshes may produce unexpected results.
Base Extension: The base extension algorithm works by adding a new geometry underneath the model. For models with complex undersides, results may not be perfect.
Error Handling: While we've added robust error handling, some edge cases in complex STL files might still cause issues.

Visualization Limitations

SVG Representation: The SVG visualization is a simplified schematic representation, not a true 3D render.
Complex Models: For very complex models, the visualization may not accurately represent all details.

Performance Considerations

Slicing Operations: External slicer processes can be CPU-intensive and may take considerable time for complex models.
Progress Reporting: For large files, progress updates may appear to stall at certain processing stages.

Testing Recommendations

Start with smaller STL files (< 10MB) to test functionality
Monitor memory usage when processing large files
Test modifications on simple geometries before attempting complex ones
Consider running on a system with at least 4GB of available RAM for larger operations

Appendix: MCP in Practice (Code Execution, Scale, and Safety)

Last updated: 2026-02-24

State of MCP Right Now

MCP remains a high-value protocol for interoperability, but large tool surfaces have a real downside: tool schemas, retries, and tool-call traces can flood the context window. More tools often means more token overhead unless the execution model is disciplined.

Why Code Mode / Code Execution Has Become Important

Recent production workflows increasingly move orchestration out of conversational turns and into executable code loops. This keeps context leaner, makes behavior easier to audit, and improves reproducibility.

Core reading:

Cloudflare: https://blog.cloudflare.com/code-mode/
Cloudflare: https://blog.cloudflare.com/code-execution-with-mcp/
Anthropic: https://www.anthropic.com/engineering/code-execution-with-mcp

Setup Guidance for Users

For practical day-to-day use, start with a codemode-oriented gateway and keep direct tool exposure narrow:

codemode-mcp: https://github.com/jx-codes/codemode-mcp
UTCP routing guidance: https://www.utcp.io

Even with strong setup, model/tool usage can still be inconsistent across client versions and model releases, so retries and deterministic fallbacks are still required.

Peter Steinberger Workflow Pattern

A high-signal pattern is converting broad MCP toolsets into targeted CLIs so the model calls fewer, better-defined commands:

MCPorter: https://github.com/steipete/mcporter
OpenClaw: https://github.com/steipete/openclaw

What Works Best With Which Clients

Claude Code, Codex CLI, and Cursor agent modes: strong fit for direct MCP and code-execution workflows.
Thin hosted chat clients: usually better when MCP servers are wrapped behind narrower CLIs/gateways.
Large multi-tool servers: best when grouped into task-specific wrappers instead of exposing every tool directly.

This ecosystem changes quickly; if you are reading this later, parts of this section may already be stale.

Prompt Injection: Risks, Consequences, and Mitigations

Prompt injection is still an open problem for tool-using agents. It is manageable, but not solved.

Primary risks:

Hidden malicious instructions in remote content or tool output.
Secret exfiltration via unintended network/tool calls.
Unauthorized state changes (filesystem, infrastructure, or printer actions).

Practical mitigations:

Least-privilege credentials and short-lived tokens.
Strict schema validation and explicit allowlists for actions/hosts.
Human confirmation gates for destructive operations.
Execution sandboxing with resource/time limits.
Structured logs and replayable runs for incident response.

Treat tool output as untrusted input by default.

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	This project is licensed under GPL-2.0
	This project is written in TypeScript 4.9+
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	We welcome contributions via Pull Requests
	Requires Node.js 18.0.0 or higher
	Number of downloads per month from npm
	Number of GitHub stars this project has received

License

GPL-2.0

Mcp 3d Printer Server

Documentation

MCP 3D Printer Server

Table of Contents

Description

Features

Installation

Prerequisites

Install from npm

Install from source

Running with Docker

Using Slicers with Docker

Configuration

Usage with Claude Desktop

Supported Printer Management Systems

OctoPrint

Klipper (via Moonraker)

Duet

Repetier

Bambu Labs

Finding Your Bambu Printer's Serial Number and Access Token

Bambu Communication Notes (MQTT & FTP)

Prusa Connect

Setting up Prusa Connect

Creality Cloud

Setting up Creality Cloud

Available Tools

STL Manipulation Tools

get_stl_info

extend_stl_base

scale_stl

rotate_stl

translate_stl

merge_vertices

center_model

lay_flat

modify_stl_section

generate_stl_visualization

slice_stl

confirm_temperatures

process_and_print_stl

Printer Control Tools

get_printer_status

list_printer_files

upload_gcode

start_print

cancel_print

set_printer_temperature

Bambu-Specific Tools

print_3mf

Available Resources

Printer Resources

Bambu Preset Resources

Example Commands for Claude

Printer Control

STL Manipulation and Printing

Bambu Lab Printer Limitations

Limitations and Considerations

Memory Usage

STL Manipulation Limitations

Visualization Limitations

Performance Considerations

Testing Recommendations

Appendix: MCP in Practice (Code Execution, Scale, and Safety)

State of MCP Right Now

Why Code Mode / Code Execution Has Become Important

Setup Guidance for Users

Peter Steinberger Workflow Pattern

What Works Best With Which Clients

Prompt Injection: Risks, Consequences, and Mitigations

Badges

License

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