"A server for searching local Obsidian Markdown notes" matching MCP servers:

Enables managing and searching markdown notes with semantic search, question answering, and note generation, and provides an MCP server for GitHub Copilot integration.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

Enables Claude to create, read, update, and search notes in a local Obsidian vault, with automatic YAML frontmatter and folder management.

Enables AI assistants to search, read, create, and modify Markdown notes in local Obsidian vaults directly through filesystem operations. Supports tag-based discovery and frontmatter parsing without requiring Obsidian to be open, facilitating integration with VS Code Copilot via stdio transport.

Enables AI assistants to query and interact with a graph database of markdown notes, extracting entities like wikilinks, mentions, and hashtags.

A local MCP server that wraps the Obsidian CLI to give AI assistants direct access to read, edit, and manage notes within an Obsidian vault. It enables advanced operations such as frontmatter property management, context-aware searching, and the execution of internal Obsidian commands.

Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.

Syncs Jira Cloud issues into local Markdown files with source metadata, kept current including deletions. Includes a local read-only MCP server so Claude Code or Codex can search, read and list recent changes. Linux.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Turns local code repositories into a queryable dependency graph built from AST parsing and git co-edit history, then exposes it alongside an Obsidian vault as persistent memory. Enables context retrieval, impact analysis of proposed changes, and curation of durable prose knowledge through full-text search and Personalized PageRank classification—all fully offline without API keys or embeddings.

An MCP server that lints, validates, and renders your Obsidian vault markdown — all inside Docker.

Exposes a local Obsidian vault as a stateless MCP server, letting AI coding agents search, read, browse, and edit notes in real time.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

Built-in MCP server that gives AI agents direct access to an Obsidian vault for reading, writing, searching notes, and executing commands.

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

Local markdown notes for any MCP client: ranked + semantic search, tags, todos, a wiki-link knowledge graph, daily notes, templates, and slash-command workflows. Pure-JS, local, no API keys.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Enables AI to search, retrieve, list notes, and get backlinks from a published Markdown vault (Obsidian) via GitHub Pages.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

Local MCP server to access Obsidian vault via the obsidian-local-rest-api, with semantic search and project memory using Ollama embeddings.

Enables reading and managing markdown note files from a specified directory through natural language interactions.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

Enables natural language interaction with a local Obsidian vault, allowing MCP clients to read, search, create, append, and delete markdown notes securely.

Provides read-only access to a local Markdown notes directory for AI assistants, enabling full-text search, note reading, recent-note listing, statistics, indexed resources, and weekly-review prompts while enforcing path safety and output budgets.

Enables local web crawling and scraping through MCP, providing tools to fetch pages as Markdown, extract structured data with CSS selectors, and capture full-page screenshots while managing a shared browser instance.

MCP server to interact with Obsidian via the Local REST API community plugin.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.

A bridge server that allows LLM tools to interact with an Obsidian vault through a local REST API, enabling file operations, note management, and metadata access through natural language.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

Enables reading and optionally editing existing Markdown files under a configured root folder, including section-level queries, overwrites, appends, deletions, and front matter management, over stdio with no network dependencies.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A hybrid MCP server that bridges Claude Desktop with both Obsidian vaults and the Bonfires platform, enabling seamless knowledge management and collaboration.

Splits Markdown documents into hierarchical sections with parent-child and sibling relationships, enabling structured document access for AI assistants.

Provides Markdown utilities: converts Markdown to plain text, extracts links and headings. Part of the Pipeworx MCP gateway.

Enables AI agents to manage Markdown notes via the Model Context Protocol, supporting creation, editing, searching, and conflict detection.

Enables MCP clients to append and create Markdown notes in a Git-backed GitHub repository (Obsidian-friendly), with tools for appending, creating, reading, and listing notes.

Translates project README files into multiple languages via MCP server or standalone pipeline, using local LM Studio models for translation, critique, and revision.

Remote MCP server that exposes a personal git repository of markdown notes to Claude, enabling reading, writing, searching, and running scripts with automatic git commits and GitHub OAuth authentication.