"Headroom open-notebook resources" matching MCP servers:

Enables AI assistants to manage notebooks, sources, notes, search content, and interact with AI models through Open Notebook.

Give your AI agents access to 8,500+ community curated awesome lists with over 1 million curated resources.

Enables semantic search, code exemplar lookup, knowledge-graph statistics, and cached retrieval over locally ingested notebook and Markdown content through MCP.

A persistent, cross-session knowledge base for AI agents that indexes session history into a searchable SQLite database with full-text search, enabling recall of past sessions, stored knowledge, and summaries.

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

Lets an AI assistant search, read, and write notes and sources in your self-hosted Open Notebook, with approval-gated writes and no data sent anywhere else. It bundles tools, prompts, and skills for meeting notes, decision records, weekly reviews, and source-cited research.

A self-hosted, notebook-scoped RAG pipeline with contextual retrieval, delivered as an MCP server. Enables ingestion of documents into named notebooks and semantic search returning raw ranked chunks.

Open source MCP server for Vectara

Enables AI writing clients to launch NotebookLM Deep Research, persist every discovered source, verify each claim against original text, compare viewpoints, and export a citation-grounded research brief. Code-enforced evidence rules tie every judgment to source, original text, applicable conditions, and limitations, without silently degrading or fabricating metadata.

Enables agents to query a self-hosted, locally indexed web corpus through MCP tools for keyword, neural, or hybrid search, to fetch clean text from already-indexed URLs, and to discover pages similar to an indexed URL.

Enables AI agents to interact with Google NotebookLM for grounded, hallucination-free answers through notebook management, source management, research, and generation tools.

Personal knowledge graph with 16 MCP tools. Auto-links, deduplicates, tracks themes, synthesizes insights.

Connect Google Antigravity 2, VS Code, Cursor and Claude Code to Gemini Notebooks (formerly NotebookLM, both personal and Google Cloud Enterprise). Exposes 21 MCP tools for workspace notebook binding, grounded Q&A with citations, Fast and Deep Research, bi-directional file sync, and Studio artifact generation.

Enables managing knowledge bases in Open WebUI and retrieving relevant fragments from Qdrant-stored knowledge through an MCP client.

Enables XTend developers and agents to search and retrieve canonical XTend documentation, recipes, and kit resources through read-only MCP tools, resources, and prompts served over stateless HTTP.

Access to many public datasets right from your LLM application.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables multiple MCP agents to read and write a single user-controlled, local-first fact layer under one user identity with explicit scopes, preserving sources, versions, permissions, and audit history. Supports structured memories such as preferences, facts, task state, and decisions, plus structured handoff capsules so one agent can resume another's work by task ID.

Enables querying NotebookLM with Gemini 2.5 from Cursor/Claude Code, returning answers grounded in user-provided sources without the model's internal thinking.

Enables Claude to query a locally imported collection of PDF, TXT, and MD files via SQLite FTS5 full-text search (including Chinese), and to browse notebooks, source files, and individual passages. Every search result carries traceable citations such as filename, page number, line number, or timestamp.

A local-first MCP server for building and querying PDF knowledge bases. It indexes PDFs into DuckDB and exposes evidence-grounded retrieval tools to separate corpus-backed answers from independent reasoning.

Open-source persistent memory infrastructure for AI agents.

Enables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.

A self-hosted second brain MCP server that enables capturing thoughts with deduplication and semantic search using local embeddings and PostgreSQL with pgvector, all running on your own hardware.

Enables AI agents to drive a user's own signed-in Google NotebookLM (Gemini Notebook) account through 51 MCP tools, covering notebook and source management, grounded chat with numbered citations, fast and deep research, and generating or downloading audio/video overviews, slide decks, quizzes, flashcards, mind maps, infographics, reports and data tables. It runs over stdio or streamable HTTP on localhost and sends progress notifications for long-running jobs.

A private, self-hosted RAG service over MCP that enables document ingestion, hybrid retrieval (BM25 + dense vectors fused with RRF), and notebook management through 14 tools, keeping documents on your own hardware.

Enables AI agents to interact with Google NotebookLM through browser automation, supporting notebook management, source addition, question answering, and audio overview generation.

Stores what AI agents learn — thoughts, decisions, session events and repo facts — in PostgreSQL with pgvector and serves it back through versioned MCP tools with hybrid vector-plus-full-text retrieval and budgeted context packs. Enables multiple agents to share one scoped, role-isolated long-term memory, with deliberate promotion of distilled candidates into durable memories.

Open MCP server for AI agents to discover people, jobs, collaborators and projects through semantic search over human-published context.

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