← 开源
jacksteamdev

obsidian-mcp-tools

Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.

AI EngineeringGive agent toolsTypeScript
在 GitHub 打开
增长势头
+024 小时新增 Star0.0%
829
Star
121
Fork
+0
本周
7
贡献者
创建于 2024-12-28 · 更新于 2026-10-02 · 今日第 13399 名
主要开发者
jacksteamdevdelorenjwienkers

jacksteamdev/obsidian-mcp-tools 排名第 13,399,有 829 个星标。

同类别比较

jacksteamdev/obsidian-mcp-tools 排名第 13,399,此处有 8 个同类条目;ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG 排名第 13,396。

同类别比较
名称排名指标
heurist-network/heurist-agent-framework13,387
语言:
Python
星标数:
830
分叉数:
90
简介:
A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
jonigl/mcp-client-for-ollama13,388
语言:
Python
星标数:
830
分叉数:
126
简介:
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
tenfoldmarc/llm-council-skill13,390
星标数:
830
分叉数:
161
ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG13,396
语言:
Python
星标数:
829
分叉数:
65
简介:
Unofficial implementation of BRIA RMBG Model for ComfyUI
mco-org/squad13,403
语言:
Rust
星标数:
829
分叉数:
92
简介:
Multi-AI agent terminal collaboration tool
AgnosticUI/agnosticui13,406
语言:
TypeScript
星标数:
828
分叉数:
46
简介:
AgnosticUI Local (v2) is a CLI-based UI component library that copies components directly into your project. Works with AI tools, agent-driven UIs, and prompt-ready workflows.
RealDeco/xiaozhi-esphome13,407
语言:
Rich Text Format
星标数:
828
分叉数:
138
简介:
Alternative code to use xiaozhi ai devices in esphome/home assistant.
alexa/alexa-skills-kit-sdk-for-java13,408
语言:
Java
星标数:
828
分叉数:
738
简介:
The Alexa Skills Kit SDK for Java helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.
关键参数与规格
关键参数与规格
参数值
语言TypeScript
类别AI Engineering
子类别Give agent tools
关键词MCP, Notetaking, Search
星标数829
分叉数121
贡献者7
创建日期2024-12-28
更新日期2026-10-02
1 天星标数0
7 天星标数0
排名13,399
上次排名13,299
排名变化-100
7 天星标排名13,923
上次 7 天星标排名13,942
7 天星标排名变化19
总星标排名12,953
上次总星标排名12,931
总星标排名变化-22
README 摘录

MCP Tools for Obsidian Features | Installation | Configuration | Troubleshooting | Security | Development | Support **⚠️ Project Archived** I'm grateful to all the users who have downloaded this plugin over the past year. Watching the Obsidian store install count climb to 87k has been fun! I never expected it to become the #1 MCP-related Obsidian plugin. This project was originally a labor of love for my partner, who was using Obsidian and wanted to chat with her notes. We're not using Obsidian currently, so

I have decided to step aside to allow plugin developers who have a vested interest in the Obsidian ecosystem to gain users. There are at least five alternatives published to the Obsidian Community Plugins store, with many more MCP-related beta plugins available through BRAT. I'm not going to make recommendations for a specific plugin; I'll leave that to the user's discretion. MCP Tools for Obsidian enables AI applications like Claude Desktop to securely access and work with your Obsidian

vault through the Model Context Protocol (MCP). MCP is an open protocol that standardizes how AI applications can interact with external data sources and tools while maintaining security and user control. [^2] This plugin consists of two parts: 1. An Obsidian plugin that adds MCP capabilities to your vault 2. A local MCP server that handles communication with AI applications When you install this plugin, it will help you set up both components. The MCP server acts as a secure

bridge between your vault and AI applications like Claude Desktop. This means AI assistants can read your notes, execute templates, and perform semantic searches - but only when you allow it and only through the server's secure API. The server never gives AI applications direct access to your vault files. [^3] **Privacy Note**: When using Claude Desktop with this plugin, your conversations with Claude are not used to train Anthropic's models by default. [^1] Features When connected to an MCP client

like Claude Desktop, this plugin enables: **Vault Access**: Allows AI assistants to read and reference your notes while maintaining your vault's security [^4] **Semantic Search**: AI assistants can search your vault based on meaning and context, not just keywords [^5] **Template Integration**: Execute Obsidian templates through AI interactions, with dynamic parameters and content generation [^6] All features require an MCP-compatible client like Claude Desktop, as this plugin provides the server component that enables these integrations. The plugin does not

modify Obsidian's functionality directly - instead, it creates a secure bridge that allows AI applications to work with your vault in powerful ways. 7 or higher Claude Desktop installed and configured Local REST API plugin installed and configured with an API key Recommended Templater plugin for enhanced template functionality Smart Connections plugin for semantic search capabilities Installation [! Important] This plugin requires a secure server component that runs locally on your computer. The server is distributed as a signed executable, with its

complete source code available in . For details about our security measures and code signing process, see the Security section. Install

常见问题

记录了多少星标和分叉?

jacksteamdev/obsidian-mcp-tools 有 829 个星标和 121 个分叉。

仓库排名是多少?

jacksteamdev/obsidian-mcp-tools 排名第 13,399。

记录的语言和类别是什么?

jacksteamdev/obsidian-mcp-tools 有 829 个星标,语言为 TypeScript,类别为 AI Engineering。

哪个仓库排名最接近?

jacksteamdev/obsidian-mcp-tools 与 ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG 比较,后者排名第 13,396,有 829 个星标。

README

MCP Tools for Obsidian

Features | Installation | Configuration | Troubleshooting | Security | Development | Support

⚠️ Project Archived

I'm grateful to all the users who have downloaded this plugin over the past year. Watching the Obsidian store install count climb to 87k has been fun! I never expected it to become the #1 MCP-related Obsidian plugin.

This project was originally a labor of love for my partner, who was using Obsidian and wanted to chat with her notes. We're not using Obsidian currently, so I have decided to step aside to allow plugin developers who have a vested interest in the Obsidian ecosystem to gain users.

There are at least five alternatives published to the Obsidian Community Plugins store, with many more MCP-related beta plugins available through BRAT. I'm not going to make recommendations for a specific plugin; I'll leave that to the user's discretion.

MCP Tools for Obsidian enables AI applications like Claude Desktop to securely access and work with your Obsidian vault through the Model Context Protocol (MCP). MCP is an open protocol that standardizes how AI applications can interact with external data sources and tools while maintaining security and user control. [^2]

This plugin consists of two parts:

  1. An Obsidian plugin that adds MCP capabilities to your vault
  2. A local MCP server that handles communication with AI applications

When you install this plugin, it will help you set up both components. The MCP server acts as a secure bridge between your vault and AI applications like Claude Desktop. This means AI assistants can read your notes, execute templates, and perform semantic searches - but only when you allow it and only through the server's secure API. The server never gives AI applications direct access to your vault files. [^3]

Privacy Note: When using Claude Desktop with this plugin, your conversations with Claude are not used to train Anthropic's models by default. [^1]

Features

When connected to an MCP client like Claude Desktop, this plugin enables:

  • Vault Access: Allows AI assistants to read and reference your notes while maintaining your vault's security [^4]
  • Semantic Search: AI assistants can search your vault based on meaning and context, not just keywords [^5]
  • Template Integration: Execute Obsidian templates through AI interactions, with dynamic parameters and content generation [^6]

All features require an MCP-compatible client like Claude Desktop, as this plugin provides the server component that enables these integrations. The plugin does not modify Obsidian's functionality directly - instead, it creates a secure bridge that allows AI applications to work with your vault in powerful ways.

Prerequisites

Required

Recommended

Installation

[!Important] This plugin requires a secure server component that runs locally on your computer. The server is distributed as a signed executable, with its complete source code available in packages/mcp-server/. For details about our security measures and code signing process, see the Security section.

  1. Install the plugin from Obsidian's Community Plugins
  2. Enable the plugin in Obsidian settings
  3. Open the plugin settings
  4. Click "Install Server" to download and configure the MCP server

Clicking the install button will:

  • Download the appropriate MCP server binary for your platform
  • Configure Claude Desktop to use the server
  • Set up necessary permissions and paths

Installation Locations

  • Server Binary: {vault}/.obsidian/plugins/obsidian-mcp-tools/bin/
  • Log Files:
    • macOS: ~/Library/Logs/obsidian-mcp-tools
    • Windows: %APPDATA%\obsidian-mcp-tools\logs
    • Linux: ~/.local/share/obsidian-mcp-tools/logs

Configuration

After clicking the "Install Server" button in the plugin settings, the plugin will automatically:

  1. Download the appropriate MCP server binary
  2. Use your Local REST API plugin's API key
  3. Configure Claude Desktop to use the MCP server
  4. Set up appropriate paths and permissions

While the configuration process is automated, it requires your explicit permission to install the server binary and modify the Claude Desktop configuration. No additional manual configuration is required beyond this initial setup step.

Troubleshooting

If you encounter issues:

  1. Check the plugin settings to verify:
    • All required plugins are installed
    • The server is properly installed
    • Claude Desktop is configured
  2. Review the logs:
    • Open plugin settings
    • Click "Open Logs" under Resources
    • Look for any error messages or warnings
  3. Common Issues:
    • Server won't start: Ensure Claude Desktop is running
    • Connection errors: Verify Local REST API plugin is configured
    • Permission errors: Try reinstalling the server

Security

Binary Distribution

  • All releases are built using GitHub Actions with reproducible builds
  • Binaries are signed and attested using SLSA provenance
  • Release workflows are fully auditable in the repository

Runtime Security

  • The MCP server runs with minimal required permissions
  • All communication is encrypted
  • API keys are stored securely using platform-specific credential storage

Binary Verification

The MCP server binaries are published with SLSA Provenance attestations, which provide cryptographic proof of where and how the binaries were built. This helps ensure the integrity and provenance of the binaries you download.

To verify a binary using the GitHub CLI:

  1. Install GitHub CLI:

    # macOS (Homebrew)
    brew install gh
    
    # Windows (Scoop)
    scoop install gh
    
    # Linux
    sudo apt install gh  # Debian/Ubuntu
    
  2. Verify the binary:

    gh attestation verify --owner jacksteamdev 
    

The verification will show:

  • The binary's SHA256 hash
  • Confirmation that it was built by this repository's GitHub Actions workflows
  • The specific workflow file and version tag that created it
  • Compliance with SLSA Level 3 build requirements

This verification ensures the binary hasn't been tampered with and was built directly from this repository's source code.

Reporting Security Issues

Please report security vulnerabilities via our security policy. Do not report security vulnerabilities in public issues.

Development

This project uses a monorepo structure with feature-based architecture. For detailed project architecture documentation, see .clinerules.

Using Cline

Some code in this project was implemented using the AI coding agent Cline. Cline uses cline_docs/ and the .clinerules file to understand project architecture and patterns when implementing new features.

Workspace

This project uses a Bun workspace structure:

packages/
├── mcp-server/        # Server implementation
├── obsidian-plugin/   # Obsidian plugin
└── shared/           # Shared utilities and types

Building

  1. Install dependencies:
    bun install
    
  2. Build all packages:
    bun run build
    
  3. For development:
    bun run dev
    

Requirements

  • bun v1.1.42 or higher
  • TypeScript 5.0+

Contributing

Before contributing, please read our Contributing Guidelines including our community standards and behavioral expectations.

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Run tests:
    bun test
    
  5. Submit a pull request

We welcome genuine contributions but maintain strict community standards. Be respectful and constructive in all interactions.

Support

Please read our Contributing Guidelines before posting. We maintain high community standards and have zero tolerance for toxic behavior.

Changelog

See GitHub Releases for detailed changelog information.

License

MIT License

Footnotes

[^1]: For information about Claude data privacy and security, see Claude AI's data usage policy [^2]: For more information about the Model Context Protocol, see MCP Introduction [^3]: For a list of available MCP Clients, see MCP Example Clients [^4]: Requires Obsidian plugin Local REST API [^5]: Requires Obsidian plugin Smart Connections [^6]: Requires Obsidian plugin Templater

排名相邻
同类项目