{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server","slug":"mcp-dmontgomery40-mcp-3d-printer-server","name":"mcp-3D-printer-server","type":"mcp","url":"https://github.com/DMontgomery40/mcp-3D-printer-server","page_url":"https://unfragile.ai/mcp-dmontgomery40-mcp-3d-printer-server","categories":["mcp-servers","observability"],"tags":["3d-printing","3mf","bambu-lab","bambu-studio","duet","g-code","klipper","mcp","mcp-orca-slicer","mcp-server","mcp-stl-3mf","modelcontextprotocol","moonraker","octoprint","orca-slicer","repetier","repetier-server","stl-files","three-js","threejs"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_0","uri":"capability://tool.use.integration.multi.printer.api.orchestration.with.unified.control.interface","name":"multi-printer-api orchestration with unified control interface","description":"Abstracts 8+ distinct 3D printer APIs (Bambu Lab, OctoPrint, Klipper via Moonraker, Duet, Repetier, Prusa, Creality, Orca Slicer) behind a single MCP tool interface, translating normalized commands into printer-specific API calls and response schemas. Uses adapter pattern with per-printer protocol handlers that map common operations (start print, pause, resume, cancel, temperature control) to native API endpoints while normalizing heterogeneous response formats into consistent JSON structures.","intents":["Control multiple 3D printers from different manufacturers via a single LLM interface without learning each API","Build multi-printer fleet management agents that can dispatch jobs across printers","Integrate 3D printing into broader automation workflows without vendor lock-in"],"best_for":["LLM agents managing multi-printer environments","Developers building printer-agnostic automation tools","Teams with heterogeneous printer fleets wanting unified control"],"limitations":["API coverage varies by printer model — not all operations supported on all platforms","Network latency to printer APIs adds 500ms-2s per command execution","Authentication credentials must be stored and rotated per printer instance"],"requires":["MCP client (Claude Desktop, Cline, or compatible)","Network access to target printer APIs","Valid API credentials for each printer (API keys, IP addresses, or auth tokens)","TypeScript runtime (Node.js 18+)"],"input_types":["JSON configuration with printer endpoints and credentials","Natural language commands from LLM","Structured tool parameters (print file path, temperature, speed)"],"output_types":["JSON printer status objects","Normalized command acknowledgments","Error messages with printer-specific context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_1","uri":"capability://data.processing.analysis.stl.3mf.file.manipulation.with.geometric.transformations","name":"stl/3mf file manipulation with geometric transformations","description":"Parses and modifies 3D model files (STL, 3MF formats) to perform structural operations including scaling, rotation, translation, and sectional editing. Likely uses a 3D geometry library (Three.js mentioned in tags) to load mesh data, apply transformation matrices, and serialize back to file format. Supports both ASCII and binary STL formats with format auto-detection and preservation of original file properties during round-trip operations.","intents":["Scale models to fit printer bed dimensions without external CAD software","Rotate parts for optimal print orientation and support minimization","Edit model sections (e.g., remove overhangs, extend bases) programmatically","Batch transform multiple models with consistent parameters"],"best_for":["Developers building automated print-prep pipelines","LLM agents that need to modify models before slicing","Headless 3D printing workflows without GUI CAD tools"],"limitations":["Sectional editing is limited to simple operations — complex topology changes not supported","No mesh repair or hole-filling — assumes valid input geometry","Large models (>100MB) may cause memory pressure in Node.js runtime","Transformation operations are in-memory only — no streaming for huge files"],"requires":["STL or 3MF file input","Three.js or compatible 3D geometry library","Sufficient Node.js heap memory for model size"],"input_types":["STL files (ASCII or binary)","3MF files (XML-based with embedded geometry)","Transformation parameters (scale factors, rotation angles in degrees/radians, translation vectors)"],"output_types":["Modified STL or 3MF files","Geometry metadata (bounding box, volume, surface area)","Transformation confirmation with before/after dimensions"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_10","uri":"capability://memory.knowledge.printer.configuration.management.and.profile.storage","name":"printer configuration management and profile storage","description":"Stores and manages printer profiles containing hardware specifications (bed size, nozzle diameter, max speeds), firmware settings, and slicing defaults. Enables quick printer registration with minimal manual configuration and provides configuration templates for common printer models. Supports configuration versioning and rollback to previous settings.","intents":["Register new printers with minimal manual configuration","Store and reuse printer-specific settings across jobs","Manage configuration versions and rollback to known-good states"],"best_for":["Multi-printer environments with frequent printer additions","Teams managing printer fleets with standardized configurations"],"limitations":["No persistent storage — profiles are lost on server restart unless externally saved","Configuration templates are limited to common models — custom printers require manual setup","No conflict detection when updating shared profiles","Versioning is basic — no branching or merging strategies"],"requires":["In-memory or file-based profile storage","Configuration schema for printer specifications"],"input_types":["Printer model identifier or manual specification","Hardware parameters (bed size, nozzle diameter, max speeds)","Firmware and API credentials"],"output_types":["Printer profile JSON","Configuration validation results","Version history with timestamps"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_2","uri":"capability://data.processing.analysis.real.time.printer.status.monitoring.and.telemetry.aggregation","name":"real-time printer status monitoring and telemetry aggregation","description":"Polls or subscribes to printer status endpoints (temperature, print progress, nozzle position, bed state, error codes) and aggregates heterogeneous telemetry into normalized status objects. Implements per-printer polling intervals or webhook subscriptions depending on API capabilities (e.g., Klipper supports WebSocket subscriptions via Moonraker, OctoPrint uses REST polling). Maintains in-memory state cache to enable fast status queries without repeated API calls.","intents":["Monitor print progress and alert on failures or temperature anomalies","Build dashboards or status reports from multiple printers","Implement conditional logic based on real-time printer state (e.g., pause if temp drops)","Track historical metrics for reliability analysis"],"best_for":["LLM agents that need current printer state for decision-making","Multi-printer fleet monitoring dashboards","Automated failure detection and recovery workflows"],"limitations":["Status freshness depends on polling interval — real-time updates may lag 5-30 seconds","No built-in historical storage — state is ephemeral in-memory cache","Webhook subscriptions require printer network access to MCP server (not always feasible)","API rate limits on some printers (e.g., Bambu Lab) may throttle polling frequency"],"requires":["Active network connection to printer APIs","Printer must expose status endpoints (REST, WebSocket, or polling-compatible)","MCP server with sufficient memory for per-printer state caching"],"input_types":["Printer configuration (API endpoint, polling interval preference)","Query parameters (which metrics to fetch, time range for historical data)"],"output_types":["JSON status objects with normalized fields (temperature, progress %, nozzle position, bed state)","Error/warning alerts with printer-specific error codes","Aggregated fleet status summaries"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_3","uri":"capability://automation.workflow.slicing.integration.with.orca.slicer.and.native.slicer.apis","name":"slicing integration with orca slicer and native slicer apis","description":"Invokes slicing engines (Orca Slicer, Bambu Studio, Prusa Slicer, Creality Slicer) via their native APIs or CLI interfaces to convert STL/3MF models into printer-ready G-code. Passes model files, printer profiles, and slicing parameters (layer height, infill, support type) to the slicer and retrieves generated G-code output. Handles slicer-specific configuration formats (e.g., Bambu's .3mf project files with embedded settings) and normalizes output G-code for target printer compatibility.","intents":["Automatically slice models with optimal settings for specific printer hardware","Generate G-code from LLM prompts without manual slicer GUI interaction","Batch-slice multiple models with consistent parameters","Integrate slicing into automated print-prep pipelines"],"best_for":["Headless 3D printing automation systems","LLM agents that need to prepare models for immediate printing","CI/CD pipelines for 3D model production"],"limitations":["Requires slicer software installed locally — cannot invoke cloud slicing APIs directly","Slicing is CPU-intensive and may block MCP server for 30-120 seconds per model","Slicer CLI interfaces are not standardized — each slicer requires custom invocation logic","Generated G-code may need post-processing for some printer-specific quirks"],"requires":["Orca Slicer, Bambu Studio, Prusa Slicer, or Creality Slicer installed on MCP server host","Printer profile configuration files for target printer","STL or 3MF input file","Sufficient disk space for temporary G-code output"],"input_types":["STL or 3MF model files","Slicing parameters (layer height, infill %, support type, nozzle temp, bed temp)","Printer profile identifier (e.g., 'Bambu X1 Carbon')"],"output_types":["G-code files (text format)","Slicing metadata (print time estimate, filament weight, layer count)","Warnings or errors from slicer (e.g., model too large for bed)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_4","uri":"capability://image.visual.3d.model.visualization.and.preview.generation","name":"3d model visualization and preview generation","description":"Renders STL/3MF models to 2D preview images or interactive 3D visualizations using Three.js, enabling LLMs and users to inspect models before printing. Generates orthographic or perspective projections, applies lighting and shading, and optionally overlays printer bed dimensions or support structures. May support multiple output formats (PNG, JPEG, WebGL canvas) depending on client capabilities.","intents":["Preview models in LLM chat before committing to print","Verify model orientation and scaling visually","Generate thumbnails for print queue dashboards","Inspect support structures or slicing results"],"best_for":["LLM agents that need visual feedback for model decisions","Web-based print management dashboards","Developers building 3D print preview features"],"limitations":["Rendering large models (>10M triangles) may be slow or memory-intensive","Preview images are static — no interactive rotation in LLM chat context","Lighting and material properties are simplified — not photorealistic","WebGL output requires browser support on client side"],"requires":["Three.js library","STL or 3MF input file","Canvas or WebGL rendering context (browser or headless renderer like Puppeteer)"],"input_types":["STL or 3MF model files","Rendering parameters (camera angle, zoom, lighting direction, output format)"],"output_types":["PNG or JPEG preview images","WebGL canvas for interactive viewing","Metadata (model dimensions, triangle count, bounding box)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_5","uri":"capability://data.processing.analysis.printer.specific.g.code.post.processing.and.validation","name":"printer-specific g-code post-processing and validation","description":"Applies printer-specific transformations to G-code files before sending to printer, including firmware-specific command translation, coordinate system adjustments, and compatibility checks. Validates G-code syntax, detects unsupported commands, and optionally injects printer-specific preambles (e.g., bed leveling sequences, nozzle priming). Handles firmware variants (Marlin, Klipper, RepRapFirmware, Repetier) with different command dialects and parameter formats.","intents":["Ensure G-code compatibility before sending to printer","Automatically inject printer-specific setup sequences","Detect and warn about unsupported commands","Normalize G-code from different slicers for target printer"],"best_for":["Automated print-prep pipelines with heterogeneous printers","LLM agents that need to validate G-code before printing","Multi-firmware environments with compatibility concerns"],"limitations":["Post-processing may alter print timing or quality if not carefully tuned","Firmware-specific quirks are difficult to enumerate — edge cases may slip through","Validation is syntactic only — cannot detect logical errors (e.g., unreachable coordinates)","Preamble injection may conflict with slicer-generated setup sequences"],"requires":["G-code file input","Target printer firmware identifier (Marlin, Klipper, RepRapFirmware, etc.)","Printer-specific configuration (max speeds, bed size, nozzle diameter)"],"input_types":["G-code files (text format)","Printer firmware and model identifier","Post-processing options (inject preamble, validate syntax, translate commands)"],"output_types":["Processed G-code files","Validation report with warnings/errors","Compatibility assessment (safe to print, requires review, incompatible)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_6","uri":"capability://automation.workflow.print.job.queuing.and.scheduling.across.multiple.printers","name":"print job queuing and scheduling across multiple printers","description":"Manages a queue of print jobs with support for prioritization, scheduling, and automatic dispatch to available printers. Tracks job state (queued, printing, completed, failed) and implements simple scheduling logic (FIFO, priority-based, or round-robin across printers). Integrates with real-time status monitoring to detect when printers become available and automatically start next queued job. Supports job dependencies (e.g., print B only after A completes) and conditional logic based on printer state.","intents":["Queue multiple prints and automatically dispatch to available printers","Prioritize urgent jobs over routine prints","Implement print scheduling based on printer availability and job dependencies","Track job history and completion status across fleet"],"best_for":["Multi-printer farms with high print volume","LLM agents managing print workflows","Automated manufacturing pipelines"],"limitations":["No persistent storage — queue is lost on MCP server restart","Scheduling logic is basic — no advanced constraint solving or optimization","Job dependencies are limited to simple sequential ordering","No cost optimization or material-aware scheduling"],"requires":["In-memory queue data structure","Real-time printer status monitoring capability","Print job submission API or interface"],"input_types":["Print job specifications (G-code file, target printer, priority, dependencies)","Scheduling parameters (FIFO vs priority-based, max concurrent jobs per printer)"],"output_types":["Job queue status with position and estimated start time","Job completion notifications","Queue statistics (total jobs, average wait time)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_7","uri":"capability://automation.workflow.error.detection.and.recovery.with.printer.specific.diagnostics","name":"error detection and recovery with printer-specific diagnostics","description":"Monitors printer telemetry for error conditions (temperature faults, mechanical failures, connectivity loss) and implements recovery strategies (retry, pause, cancel, alert). Maintains printer-specific error code mappings to translate firmware error codes into human-readable diagnostics. Supports automatic recovery actions (e.g., resume after brief pause, retry failed command) with configurable thresholds and backoff strategies.","intents":["Detect print failures early and alert operators","Automatically recover from transient errors without human intervention","Diagnose printer faults with printer-specific error context","Implement resilience policies for unattended printing"],"best_for":["Unattended multi-printer operations","LLM agents that need to handle printer failures gracefully","High-reliability print farms"],"limitations":["Error detection is reactive — cannot predict failures before they occur","Recovery strategies are limited to simple actions (pause, resume, cancel)","Printer-specific error codes are not standardized — mappings must be maintained per firmware","False positives possible if thresholds are too sensitive"],"requires":["Real-time telemetry stream from printer","Printer-specific error code mappings","Configuration for error thresholds and recovery actions"],"input_types":["Telemetry data (temperature, position, status codes)","Error detection rules (threshold values, timeout durations)","Recovery action configuration (retry count, backoff strategy)"],"output_types":["Error alerts with printer-specific diagnostics","Recovery action logs (what was attempted, success/failure)","Diagnostic reports for troubleshooting"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_8","uri":"capability://tool.use.integration.mcp.tool.schema.generation.and.llm.prompt.engineering","name":"mcp tool schema generation and llm prompt engineering","description":"Exposes all 3D printer operations as standardized MCP tools with JSON schemas, enabling LLMs to discover and invoke capabilities through natural language. Generates tool descriptions, parameter schemas, and usage examples that guide LLM behavior. Implements tool validation to ensure LLM-generated parameters are within safe ranges (e.g., temperature limits, bed size constraints) before execution.","intents":["Enable LLMs to control 3D printers through natural language without hardcoded integrations","Provide LLM-friendly schemas for all printer operations","Validate LLM-generated parameters to prevent unsafe commands"],"best_for":["LLM application developers building 3D printing agents","Claude Desktop users wanting printer control in chat","Developers building multi-tool LLM workflows"],"limitations":["Schema generation is static — does not adapt to runtime printer capabilities","Parameter validation is schema-based only — cannot detect logical conflicts","Tool descriptions must be manually maintained for clarity","LLM may misinterpret complex schemas or generate invalid parameter combinations"],"requires":["MCP server implementation","JSON schema definitions for all operations","LLM client that supports MCP tool calling (Claude, Cline, etc.)"],"input_types":["Tool operation definitions (name, parameters, return type)","Safety constraints (parameter ranges, preconditions)"],"output_types":["MCP tool schema JSON","Tool descriptions and usage examples","Parameter validation results"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dmontgomery40-mcp-3d-printer-server__cap_9","uri":"capability://data.processing.analysis.base.extension.and.support.structure.manipulation","name":"base extension and support structure manipulation","description":"Modifies model geometry to extend or modify base structures for improved print stability. Adds raft-like extensions, thickens bases, or adjusts support contact points programmatically. Works with parsed STL/3MF mesh data to identify base geometry, compute extension vectors, and merge new geometry with original model. Supports both automatic base detection and manual specification of base regions.","intents":["Improve print stability by extending model bases programmatically","Adjust support contact areas to reduce scarring","Prepare models for specific printing techniques (e.g., add raft for flexible materials)"],"best_for":["Automated print-prep pipelines requiring base modifications","LLM agents optimizing models for printability"],"limitations":["Base detection is heuristic-based — may fail on complex geometries","Extension operations are geometric only — do not account for material properties","Manual base specification requires precise coordinate input","Merged geometry may have artifacts at extension boundaries"],"requires":["STL or 3MF model file","3D geometry library (Three.js) for mesh manipulation","Base region specification (automatic or manual)"],"input_types":["STL or 3MF model files","Extension parameters (height, thickness, contact area)","Base detection mode (automatic or manual region specification)"],"output_types":["Modified STL or 3MF files with extended bases","Geometry metadata (added volume, modified surface area)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["MCP client (Claude Desktop, Cline, or compatible)","Network access to target printer APIs","Valid API credentials for each printer (API keys, IP addresses, or auth tokens)","TypeScript runtime (Node.js 18+)","STL or 3MF file input","Three.js or compatible 3D geometry library","Sufficient Node.js heap memory for model size","In-memory or file-based profile storage","Configuration schema for printer specifications","Active network connection to printer APIs"],"failure_modes":["API coverage varies by printer model — not all operations supported on all platforms","Network latency to printer APIs adds 500ms-2s per command execution","Authentication credentials must be stored and rotated per printer instance","Sectional editing is limited to simple operations — complex topology changes not supported","No mesh repair or hole-filling — assumes valid input geometry","Large models (>100MB) may cause memory pressure in Node.js runtime","Transformation operations are in-memory only — no streaming for huge files","No persistent storage — profiles are lost on server restart unless externally saved","Configuration templates are limited to common models — custom printers require manual setup","No conflict detection when updating shared profiles","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2728105260798401,"quality":0.47,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:38.365Z","last_commit":"2026-04-12T07:00:34Z"},"community":{"stars":182,"forks":40,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-dmontgomery40-mcp-3d-printer-server","compare_url":"https://unfragile.ai/compare?artifact=mcp-dmontgomery40-mcp-3d-printer-server"}},"signature":"MAmoeMmvH4dJH1/hSvKtFrt06+8xg0s5G2AV8lITOJAx9Hety++UOWmo8WS9iQVrb/4Ma/D00fQ8byO0mh+OBg==","signedAt":"2026-06-23T01:09:35.307Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-dmontgomery40-mcp-3d-printer-server","artifact":"https://unfragile.ai/mcp-dmontgomery40-mcp-3d-printer-server","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-dmontgomery40-mcp-3d-printer-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}