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DMontgomery40

MCP 3D Printer Server

start_print

Starts a stored G-code print by downloading and inspecting the exact file, checking printer state, and requiring human confirmation; unsupported APIs refuse and need upload with print=true instead.

Instructions

Start printing a G-code file already stored on the printer. The server downloads and inspects the exact file, then starts a uniquely named checked copy after printer-state checks and human confirmation. Printers whose API cannot download files (Repetier, Prusa, Creality) refuse; use upload_gcode with print=true instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoHostname or IP address of the printer (default: value from env)
portNoPort of the printer API (default: value from env)
typeNoType of printer management system (octoprint, klipper, duet, repetier, bambu, prusa, creality) (default: value from env)
api_keyNoAPI key for authentication (default: value from env)
filenameYesName/path of the printer-side G-code file to start.
materialNoDeclared filament material when the G-code has no slicer filament_type metadata (non-Bambu printers). Must not contradict the file.
bambu_modelNoRequired for Bambu print operations unless BAMBU_MODEL is configured. Must match the printer and pre-sliced G-code.
bambu_tokenNoAccess token for Bambu Lab printers (default: value from env)
bambu_serialNoSerial number for Bambu Lab printers (default: value from env)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.9

TDQS

A4.3/5.0
Behavior4/5

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

No annotations, so the description carries the full behavioral burden, and it does meaningful work: it discloses that the server downloads and inspects the exact file, starts a uniquely named checked copy, and requires printer-state checks plus human confirmation. It omits what happens to an in-progress print and any auth/failure semantics, but the human-confirmation and refuse-behavior disclosures are well beyond structured fields.

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

Conciseness4/5

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

Three sentences, front-loaded with the core action before the behavioral detail and the alternative. Dense but every clause earns its place; no filler.

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

Completeness4/5

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

For a 9-parameter mutation tool with no annotations and no output schema, the description supplies the key behavioral context (download/inspect, checked copy, human confirmation, refusal path) an agent needs. It stops short of describing failure modes or what a successful start returns, but the core is complete.

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?

Schema description coverage is 100%, so the schema already documents all nine parameters including the material/Bambu constraints and enum. The description adds no parameter-level detail beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb (start printing) and resource (a G-code file already stored on the printer), and explicitly carves out the scope from siblings like upload_gcode and process_and_print_stl. An agent can tell this apart from other print tools without opening any schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use and when-not: printers whose API cannot download files (Repetier, Prusa, Creality) refuse, and the description routes the agent to upload_gcode with print=true in that case. This is a named alternative with the selecting condition spelled out.

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