"Bambu Lab" matching MCP servers:

MCP server that acts as a research intelligence agent, converting natural language queries into SQL or full-text search against Hacker News and arXiv data, and returning answers with supporting evidence.

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.

Read-only MCP server that exposes governed operational records with provenance and validity windows so clients can check which evidence is still current before answering. It lets agents reconcile freshness, schedule state, and evidence specificity to determine whether scheduled automations are actually healthy, rather than trusting an expired dashboard summary.

Enables agents to search and reference trusted, out-of-band ingested source state, run claim-bound document reviews, validate evidence-status proposals against admissibility guards, and build evidence matrices. It keeps proposal, evidence, admissibility, and adjudication separate so agents can propose epistemic statuses without creating the source facts, page locators, provenance, or missingness records that support them.

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

Enables AI agents to manage virtual clinic data including patients, visits, diagnoses, treatments, lab/radiology orders, and search medical literature and internal knowledge base.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

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.

Exposes hybrid document retrieval and evaluation tools from retrieval-lab via MCP, including search_documents, corpus_info, run_evaluation, and search_my_repos, with wire-level conformance tests.

Provides a guarded semantic layer for text-to-SQL, offering tools for schema discovery, semantic profiling, and query verification to enable safe and reliable SQL generation on enterprise databases.

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

Exposes tools for semantic search and RAG-based Q\&A from a local knowledge base, along with resources and prompt templates.

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.

Enables MCP clients to screen lab results against published criteria with deterministic Python, search Australian contaminated-land guidance with cited passages, and draft guarded results sections whose numbers and citations are validated. All four tools are read-only and keep figures and citations under code control for a qualified person to check.

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

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.

Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.

A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API.

Enables persistent session memory for LLMs by trust-scoring and injecting verified context between conversations.