"obsidian" matching MCP servers:

A Model Context Protocol (MCP) server enabling Claude to read, write, search, and analyse your Obsidian vault with advanced research capabilities.

An MCP server that integrates Zotero and MinerU pipelines to import and manage academic literature in an Obsidian vault, enabling automated note creation, PDF parsing, and vault maintenance.

Provides AI assistants with verified regulatory data from 850+ official sources across 50+ jurisdictions, enabling accurate compliance research.

Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.

AI-operable research workspace integrating Zotero, Obsidian, and NotebookLM. Search papers (arXiv/Semantic Scholar/PubMed/CrossRef), ingest into Zotero, sync per-paper notes to Obsidian, verify NotebookLM briefs. All three external tools optional.

Enables Claude Desktop and Codex to read the active Zotero citation graph, inspect ranked discovery candidates, expand references, and—when writing is explicitly allowed—save source-linked research notes to Obsidian or Notion.

An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.

A Model Context Protocol server that distills documents from multiple sources into HTML articles and Obsidian notes, with features like key element detection, image filtering, and async task management.

An academic research tool that enables users to search across nine major paper sources, rank results with AI-driven criteria, and automate paper notifications to multiple platforms. It streamlines literature management through integrated support for Zotero, Obsidian, and personal library website generation.

Enables staged, auditable medical literature reviews—search, screening, fetch, and wiki—that produce an evidence-linked Obsidian wiki, with screening decisions, extracted mentions, and synthesis citations checked against stored source text.

Enables AI assistants to run PubMed searches in plain English, download full-text articles from PubMed Central, and map the similar, citing and cited evidence around key papers. It also builds an Obsidian knowledge graph of a study's literature, with retractions flagged and citations traceable to papers the assistant read.