by OctoEverywhere
Provides live 3D printer status, webcam snapshots, and remote control through a free, secure cloud server.
What is MCP For 3D Printing about? It delivers real‑time access to 3D printer information, live webcam images, and basic print‑job controls via the Model Context Protocol, all hosted on a private cloud that requires no local setup.
How to use MCP For 3D Printing?
Key Features of MCP For 3D Printing
Use Cases of MCP For 3D Printing
FAQ from the MCP For 3D Printing
A free, private, and secure cloud MCP server for 3D printer access, monitoring, and control. OctoEverywhere's 3D printing MCP server enables access to your 3D printers via the Model Context Protocol (MCP) for AI chatbots, agents, and workflows. Link your 3D printer to OctoEverywhere, grab your MCP access token, and you're ready to chat!
OctoEverywhere cloud empowers your OctoPrint, Klipper, Bambu Lab, and Elegoo Centauri 3D printers with free, private, unlimited remote access, AI print failure detection, and more! OctoEverywhere is developed by the maker community for the maker community.
Please log in to share your review and rating for this MCP.
Explore related MCPs that share similar capabilities and solve comparable challenges
by Arize-ai
Open-source AI observability platform enabling tracing, evaluation, dataset versioning, experiment tracking, prompt management, and interactive playground for LLM applications.
by grafana
Provides programmatic access to a Grafana instance and its surrounding ecosystem through the Model Context Protocol, enabling AI assistants and other clients to query and manipulate dashboards, datasources, alerts, incidents, on‑call schedules, and more.
by dynatrace-oss
Provides a local server that enables real‑time interaction with the Dynatrace observability platform, exposing tools for querying data, retrieving problems, sending Slack notifications, and integrating AI assistance.
by VictoriaMetrics-Community
Provides a Model Context Protocol server exposing read‑only VictoriaMetrics APIs, enabling seamless monitoring, observability, and automation through AI‑driven assistants.
by GeLi2001
Enables interaction with the Datadog API through a Model Context Protocol server, providing access to monitors, dashboards, metrics, logs, events, and incident data.
by QAInsights
Execute JMeter test plans through Model Context Protocol clients, capture console output, generate HTML dashboards, and automatically analyze JTL results to surface performance metrics, bottlenecks, and actionable recommendations.
by grafana
Provides a Model Context Protocol (MCP) server that enables AI agents to query Grafana Loki log data via stdin/stdout or Server‑Sent Events, supporting both local binary execution and containerized deployment.
by TocharianOU
Provides a Model Context Protocol (MCP) server that enables MCP‑compatible clients to access, search, and manage Kibana APIs using natural language or programmatic requests.
by MindscapeHQ
Provides comprehensive access to Raygun's API V3 endpoints for crash reporting and real user monitoring via the Model Context Protocol.