"3d print" matching MCP servers:

Enables AI clients to read, search, write, tag, backlink, and render Markdown notes stored on a NAS through the local API of the Markdown Reader & Editor desktop app.

Digital consciousness repository and community MCP server. Upload epiphanies, decisions, warnings, and patterns as consciousness payloads, then retrieve them via semantic telepathic search. Features 3D interactive consciousness globe and soul imprint authentication.

Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.

Enables semantic search and retrieval from your local markdown brain (Remember.md) via MCP tools, running entirely offline with local embeddings.

An MCP server that exposes an append-only, SQLite-backed event log for parallel research agents, providing append_delta, pull_deltas, and list_tasks tools over stdio.

Enables MCP-compatible AI clients to act as a personal exam-prep tutor for Chinese postgraduate entrance exams, with a local knowledge base, spaced-repetition review scheduling, worksheet generation and delivery (print/PDF/HTML/text), and learning analytics—all with zero third-party dependencies and data staying local.

Provides AI agents with a secure offline-first long-term memory system using Obsidian Markdown vault and 3D knowledge graph, with RLM-based querying to avoid context overload.

Enables coding agents to query a temporal knowledge graph derived from a beads issue tracker via read-only Cypher queries, exposing current rules, supersession chains, and provenance without LLM API keys.

A local-first, LLM-agnostic MCP server that lets you ask hard questions about your documents, media, and code, and get traceable answers entirely offline.

Provides a unified multi-agent coordination layer with shared memory, wiki, skills, and file management via MCP tools, enabling agents to access and collaborate on resources in a single Python process.

MCP server that enables full-text search and link navigation over Markdown files as a knowledge graph.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.

MCP server for the operbots panel, enabling AI assistants to manage tasks, Telegram bots, flow scenarios, conversations, knowledge base, and AI connections with the user's permissions.

Open-source operational brain that fuses an AI system's agents, memory, knowledge and automations into one rooted, privacy-walled graph, served over MCP with stats, search, node dossiers, neighbors and pathfinding. The same snapshot also renders up to a million nodes in a 3D browser view.

Connects AI assistants to a persistent memory engine with Neo4j knowledge graph and ProMem extraction, enabling long-term context and associative memory across chats and workspaces.

A local, zero-cost MCP server that fact-checks your Markdown/Obsidian notes using a local LLM (via Ollama) and free sources like Wikipedia and DuckDuckGo, with no cloud API or API keys.

Enables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.

A local MCP server for Dungeons & Dragons campaign management, combining core runtime with skill and module-generation packs. It enables campaign creation, module generation and import, rule and skill searching via tools, resources, and prompts.

MCP server for BRIEF.md that captures decisions, constraints, and questions during AI chats, enabling seamless project re-entry across different AI tools.