"Bambu Lab" matching MCP servers:

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.

An MCP server for longevity and metabolic medicine that provides a medication catalog, dosing protocols, contraindication screening, drug interaction checks, lab recommendations, and patient intake pathways across 35 compounds.

MCP server for the cosmos exocortex from Polarity Lab. Read and write your personal knowledge graph from any LLM client.

Provides local-first, zero-LLM memory retrieval for AI agents like Claude Code and Codex, enabling verbatim recall of stored notes and context through tools such as fidelis_recall and fidelis_orient.

Enables AI agents to operate a local study lab by rolling one-time topics, choosing a card, and completing it with proof, while managing syllabi and progress locally.

Enables persistent memory storage and retrieval via MCP tools, with a stateless ledger tracking client connections and method calls.

Neo4j MCP Canary is a fast-moving, experimental release of the Neo4j MCP server for customers who want to explore emerging capabilities before they are considered for the official server.

Provides persistent cross-session memory for Claude Code, enabling it to remember user preferences, decisions, and project context across new sessions.

An MCP server that turns your AI assistant into a structured ideation partner by generating, scoring, critiquing, and storing software ideas locally with a built-in web dashboard.

Durable memory MCP server for AI agents. Temporal knowledge graph with hybrid semantic + keyword retrieval, LLM-powered fact extraction, conflict detection, and consolidation. Backed by SQLite or PostgreSQL. 11 MCP tools, 6 LLM provider backends. Part of JamJet.

MCP server that enables AI assistants to semantically search Memtech's memory-ASIC engineering knowledge base (RTL, lab logs, DFM rules) stored in a Qdrant vector database.

Enables Claude Code to search and retrieve from a local knowledge base of markdown notes using hybrid semantic+keyword search, keeping data entirely offline.

Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.

A storage-backed MCP server for sharing durable project context between trusted coding agents, with project discovery, optimistic concurrency, and timestamped handoffs.

MCP server providing RAG tools (search_notes, answer_from_notes) and resources for grounded answers over a local knowledge base.

Enables trustworthy AI memory operations including authoritative memory creation, hybrid recall with provenance, evidence tracking, and safe dry-run-first forget and rebuild operations through a stateless MCP endpoint.

Connects AI agents to persistent topological memory on the Volumetric Lattice Network, enabling sub-5ms associative recall and storage of facts, documents, and code.

A local-first MCP server for shared memory across AI tools, enabling context capture and resume across sessions.

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.

Enables agents to store and recall long-term memories by semantic relevance rather than exact keywords, with writes gated by verbatim evidence and separate memory stores per agent mode.