Obsidian MCP servers

Publish Markdown files and folders from an AI session as a live website using the fl command-line tool.

Lets an AI client read, write, and search a local-first knowledge graph stored as Markdown files.

Lets an AI client read, search, and edit notes within an Obsidian vault directly through local file operations.

Lets an AI client edit local MDX documents and run shared actions through a purpose-built agent UI.

Enables AI agents to search and read Obsidian vaults using hybrid full-text, fuzzy, semantic, and graph retrieval.

Give AI agents access to your Obsidian vault via local filesystem or Self-hosted LiveSync with CouchDB support.

Provides a secure REST API and MCP server to allow AI agents and scripts to read, create, update, and search files within an Obsidian vault.

Enzyme creates a local semantic index of Markdown vaults and SQLite databases to enable pattern discovery and efficient agentic search.

Serve Obsidian Markdown vaults to browsers and AI agents, letting clients read, search, create, edit, move, and link notes.

Provides direct filesystem access to Obsidian vaults for high-speed keyword, semantic, and metadata-based searching and editing.

Allows AI clients to read, search, and interact with Obsidian notes through the Local REST API.

Exposes a local Markdown vault to AI clients to provide durable memory and project context without sending the entire vault into the context.

Syncs and manages task context across multiple platforms like TickTick, Notion, and GitHub using hybrid retrieval and a unified task hierarchy.

Provides a local workspace for researchers to organize papers, evidence, and drafts while managing AI-assisted research proposals.

Lets an AI client read, search, and modify Markdown files within explicitly configured Obsidian vaults.

Turns an Obsidian vault into long-term memory for AI agents using semantic search, wikilink graphs, and atomic markdown edits.

Connects AI coding assistants to Obsidian vaults to provide on-demand context and persistent knowledge between sessions.

Turns a local Markdown or Obsidian vault into a governed knowledge substrate for AI agents to search, store, and retrieve durable memory.

Exposes your Obsidian vault to AI clients like Claude, Cursor, and VS Code for local semantic search and file access via the Model Context Protocol.

Enables AI assistants to manage Obsidian vaults by reading, writing, searching, and organizing markdown notes and metadata.

Provides AI agents with bounded, auditable access to propose changes to an Obsidian vault stored in GitHub using expiring bearer tokens.

Enables AI assistants to read, write, search, and traverse Obsidian vaults through semantic operations and graph navigation.

Provides a semantic layer for AI assistants to query databases with validated SQL and maintain a personal knowledge base with linked concepts.

Transforms Markdown knowledge bases into semantic graphs with automatic classification and hierarchical structure for AI agents.

Transforms Markdown note collections into a semantic knowledge graph with automatic classification and hierarchical structure.

Lets AI agents search, read, and write a private local knowledge base of Zotero, Obsidian, and Apple Notes via a fast C++ engine.

Gives AI clients a local Markdown memory that recalls settled notes with citations and says when it does not know.

Enables AI agents to perform associative recall over markdown notes by combining vector search with wikilink graph traversal in SQLite.

Provides governed, agent-ready access to Obsidian vaults with hybrid retrieval, Markdown-native memory, and human-in-the-loop confirmations.

Turns your Obsidian vault into a private, searchable memory for AI clients like Claude and Cursor using hybrid retrieval.

Gives AI agents safe, fast read and write access to Obsidian vaults, with search, link graph analysis, tasks, canvases and Git-backed writes.

An open-source knowledge base that uses your existing AI tools to automatically organize, link, and update Markdown notes and vaults.

Lets AI clients read, search, create, edit, rename, and delete notes in an Obsidian vault over HTTP.

Gives AI assistants a local, human-like memory system where memories decay over time and strengthen with repeated use.

Allows an AI client to search, read, and grow a linked Markdown wiki with cited answers from ingested documents.

Provides AI tools with structured, local-first access to Obsidian vaults to ensure consistent context and prevent hallucinations.

Connects your Obsidian vault to AI clients like Claude and Cursor to read, write, search, and manage notes.

Provides a self-hosted markdown vault with a web UI and an MCP server that allows AI agents to read, write, and reason over notes.

Lets an AI client search, read, and capture notes, projects, and tasks within a plain-markdown vault.

Connect an AI client to an Obsidian trading journal to analyze trades, draft reviews, and preview journal edits.

Provides AI agents with persistent memory by capturing, classifying, and retrieving knowledge from Obsidian, code, and web sources.

Enables AI agents to read, write, search, and analyze your Obsidian vault, including support for canvas files, tags, and semantic search.

Lets an AI client semantically search markdown vaults, trace multi-hop note connections, and find hub or orphaned notes.

Provides vault-native, markdown-based memory for Claude Code and MCP clients using SQLite FTS5 for searchable session history.

Gives Claude Code, Codex, Claude Desktop and Hermes one shared local Markdown memory for recalling, writing and rating long-term notes.

Connects any MCP-compatible AI client to your Obsidian vault locally and privately using Obsidian's native integration APIs.

Enables AI clients to read, search, create, and update Obsidian notes and schema-validated Bases directly via the local filesystem.

Gives AI agents graph, semantic, and file search over an Obsidian vault plus guarded note edits and Git checkpoints.

A local-first MCP sidecar that indexes Markdown folders and Obsidian vaults to help AI agents map knowledge, identify patterns, and grow supervised memory.

Enables AI agents to read and write files within Obsidian vaults through the Team Relay API.