"Bambu Lab" matching MCP servers:

An MCP server for controlling Bambu Lab 3D printers that enables users to manipulate STL files, slice 3MF files, and manage end-to-end print workflows directly from Claude. It provides real-time status monitoring, file management via FTPS, and printer control through MQTT for a focused, lean Bambu-only implementation.

Enables testing how different MCP clients handle tool results containing both content and structuredContent, including outputSchema enforcement and mismatch scenarios.

Enables reviewing plans for unstated assumptions, risks, and blind spots through a structured pre-mortem analysis.

Exposes an AI labs registry as MCP tools, enabling listing labs, retrieving lab details, and searching enterprise decisions.

Enables generating parametric 3D-printable parts from OpenSCAD/CadQuery models, exporting STL/3MF files, running DFM checks, and retrieving Bambu X1 Carbon starting profile notes.

Enables MCP clients to discover and fetch skills, agents, commands, and hooks from the Gen-e2 Lab Registry, and check local inventory compliance against the registry.

Evidence-driven quality testing for Model Context Protocol servers. It connects as a real client, captures the complete model-facing contract, identifies agent-usability risks, measures context cost, and executes only explicitly approved target calls.

Enables running a minimal MCP server over stdio that manually implements JSON-RPC, exposing an add tool so users can observe the handshake, tool listing, and tool call cycle without the official SDK.

A public MCP server demonstrating how an AI agent can retrieve database schemas and manage local OpenAPI contracts via tools for CRUD operations.

MCP server exposing pure mathematical operations (sum, subtraction, multiplication, division) as tools, with a clean layered architecture and optional OpenAI Agents SDK integration.

Enables programmatic control of a PNETLab network-emulation lab via natural language, allowing users to build topologies, wire links, push device configs, and boot the lab through an LLM agent.

Enables MCP clients to run seven local text and data utilities, including JSON formatting, CSV inspection, text analysis and diffing, hashing, timestamp conversion, and URL component parsing. Everything runs offline in memory with no API keys, models, or outbound requests.

A security research MCP server for testing tool call safety with deterministic policies like allowlists, path boundary enforcement, SSRF prevention, output redaction, and prompt injection detection, without requiring external LLMs or API keys.

A Node.js-based MCP server that enables AI agents to generate embeddings, index documents, and perform semantic vector searches using OpenAI and Chroma. It facilitates the creation of retrieval-augmented generation (RAG) pipelines for internal knowledge assistants and document-based workflows.

Autonomous QA testing MCP server that analyzes, fixes, and learns from test failures. Integrates with IDE and Slack to provide cause and fix in plain language.

A runnable MCP server for learning GH-600 domain 2.0, providing four example tools (repo info, issues, summaries, safe file read) and a resource, using deterministic in-memory data.

Enables remote Python code execution via the Model Context Protocol for secure, real-time lab scenarios and sandbox testing. It allows AI clients like Claude and Cursor to execute and evaluate code within a virtual lab environment.

Provides end-to-end 3D printing automation for Bambu Lab printers, allowing users to generate, slice, and monitor prints using natural language. It features model generation from text or images, real-time camera monitoring, and automated print quality improvement.

3D Printing MCP By OctoEverywhere

Provides a local MCP server for inspecting offline .eml files without network access, exposing a single tool to generate redacted JSON summaries with nested-message and delivery-status details.