MCP Server for Obsidian
@yor-dev
基本信息
关于 MCP Server for Obsidian
暂无概览
MCP Server for Obsidian 配置
MCP Server for Obsidian 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP Server for Obsidian?
MCP Server for Obsidian is a plugin that runs a local Model Context Protocol (MCP) server within the Obsidian note-taking application. It allows MCP-compatible AI assistants to read, create, update, and search notes inside your vault. This plugin is designed for Obsidian users who want to connect their knowledge base with AI tools.
How to use MCP Server for Obsidian?
—
Key features of MCP Server for Obsidian
- Integrates an MCP server directly into Obsidian.
- Enables AI assistants to read vault notes.
- Supports creating new notes via AI.
- Allows updating existing notes.
- Provides search functionality across the vault.
- Works with any MCP-compatible AI assistant.
Use cases of MCP Server for Obsidian
- Use an AI assistant to summarize and extract insights from your notes.
- Automatically generate and save new notes from AI conversations.
- Edit and update notes based on AI suggestions.
- Find notes quickly using natural language queries through an AI interface.
FAQ from MCP Server for Obsidian
—
记忆与知识 分类下的更多 MCP 服务器

OpenLore
aakarimServe your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab
Memlord
MyrikLDMemlord is a remote MCP server available at https://app.memlord.com.

Sooveryn
PANDAPROGSooveryn gives Claude Code a team of AI personas that remembers your project. Soov, the partner and team lead, keeps your decisions and how you work in a lasting memory, and finds them again by words and by meaning, from

PLUR
plur-aiAI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

agentleFS
agentleFSOne permissioned folder your team and your AI agents both log into.
评论