MCP-Obsidian | GenAI Works

Invest in GenAI.Works by August 28 to earn up to 25% bonus shares

Company

AboutWorld’s most popular AI Products

InvestInvest by August 28 to earn up to 25% bonus shares

CareersJoin us to build the future of AI

Products

Trending ProductsWorld’s most popular AI Products

AI Products CatalogueDiscover a World of AI Solutions

Top 100 ProductsExplore best user picked AI products

Learning

AI Executive ProgramHarness the power of AI and lead confidently

CoursesExplore best courses to learn about AI

GenAI CoursesExplore best courses from GenAI team

HackathonThis is your chance to launch your career in the next wave of AI agents.

Top NewsBecome part of the largest AI community

Explore

AI CouncilGenAICoursesBlock a private network of AI executives

MCP ServersBrowse MCP Servers to build your AI

AI AgentsBrowse AI agents to improve your workflow

Sponsor Company portal

Menu

Home Courses AI products AI agents Events AI News Support ticket Privacy policy Help Centre Careers

Join us on

All rights reserved © 2025 Genai Works

MCP-Obsidian

Copy link

Share via Facebook

Share via X

Share via LinkedIn

Tried by: 206

Review ratings

No reviews yet

Hosting options

Self-hosted

Integrations

API compatible

Source

Open source

Primary function

Retrieval

Server type

Utility

Language

Python

About MCP-Obsidian

MCP-Obsidian enables AI assistants to interact with Obsidian vaults through various tools: - list_files_in_vault: Lists all files and directories in the root directory of your Obsidian vault. - list_files_in_dir: Lists all files and directories in a specific Obsidian directory. - get_file_contents: Returns the content of a single file in your vault. - search: Searches for documents matching a specified text query across all files in the vault. - patch_content: Inserts content into an existing note relative to a heading, block reference, or frontmatter field. - append_content: Appends content to a new or existing file in the vault. - delete_file: Deletes a file or directory from your vault. These tools facilitate efficient management and retrieval of notes within Obsidian using AI prompts.

MCP Server

Resources

Last Reviews

Similar MCP Servers

DodoPayments MCP Server

DodoPayments MCP Server allows AI assistants to: - Manage Payments: Create, retrieve, and list payments. - Handle Subscriptions: Create, retrieve, update, and list subscriptions. - Manage Customers: Create, retrieve, update, and list customer information. - Process Refunds: Initiate and retrieve refund details. - Manage Products: Create, retrieve, update, and list products. This integration enables AI-driven interaction with DodoPayments' services, facilitating tasks such as payment processing and subscription management through natural language commands.

MCP Server Chatsum

MCP Server Chatsum allows AI assistants to access and summarize chat messages from a local SQLite database. It provides tools to query messages based on specific parameters and generate summaries, enhancing the efficiency of managing and retrieving chat histories.

DevDocs allows AI assistants to access and process technical documentation, enabling efficient retrieval and understanding of coding resources. It integrates seamlessly with various development tools, enhancing the coding experience by providing quick access to relevant documentation.

Raindrop.io MCP Server

Raindrop.io MCP Server allows AI assistants to: - Add Bookmarks: Save new bookmarks to Raindrop.io with specified tags. - Fetch Latest Bookmarks: Retrieve the most recently added bookmarks. - Search Bookmarks by Tag: Find bookmarks associated with specific tags. - Search Bookmarks by Query: Perform text-based searches across bookmarks.

WCGW empowers AI assistants to perform coding and shell tasks directly on your local machine. It offers features like: Autonomous Execution: AI can execute shell commands and coding tasks. Interactive Command Handling: Supports interactive commands using arrow keys and other inputs. File Protections: Ensures AI reads a file before editing to prevent accidental overwrites. Shell Optimizations: Manages single shell instances to avoid rogue processes. Large File Editing: Supports incremental edits to large files, avoiding token limit issues. Syntax Checking: Provides feedback to the AI if edits contain syntax errors. These capabilities allow AI assistants to code, build, and run tasks locally, enhancing development workflows.

Unity MCP Server

The Unity MCP Server is an open-source utility that facilitates seamless communication between the Unity Editor and Large Language Models (LLMs) such as Claude Desktop and Cursor via the Model Context Protocol (MCP). This integration empowers developers to automate workflows, manipulate assets, and control the Unity Editor programmatically. Key Features: - Editor Automation: Enables execution of various Unity Editor actions through MCP clients, allowing for tasks such as creating and modifying assets, managing scenes, and controlling game objects. - Two-Way Communication: Facilitates sending commands from Unity to MCP-compliant tools and receiving responses, enabling dynamic interactions between the Unity environment and external AI models. - Extensibility: Provides a framework for adding new tools and command handlers, allowing developers to extend functionality by creating custom C# command handlers and corresponding Python tools. - Integration with MCP Clients: Designed to work seamlessly with MCP clients like Claude Desktop and Cursor, enhancing the capabilities of AI-assisted development within Unity. Recent Updates: - Tool Overhaul (v1.0.1): The number of tools has been streamlined from 36 to 7 to reduce context and improve the accuracy of LLMs in selecting appropriate tools.

EdgeOne Pages MCP

EdgeOne Pages MCP allows AI assistants to: - Deploy HTML Content: Send HTML content to EdgeOne Pages and receive a publicly accessible URL. - Automate Content Hosting: Utilize EdgeOne Pages' infrastructure for rapid content delivery. This integration facilitates AI-driven deployment of web content, streamlining the process of hosting and sharing HTML pages.

Documentation for Velt SDK. Velt provides ready-made enterprise grade collaboration features like Comments, Notifications, Recording, Live Editing etc.

Baidu AI Search

Baidu AI Search MCP Server integrates Baidu's search capabilities with large language models via the Model Context Protocol (MCP), enabling AI assistants to provide intelligent responses with real-time web information.

Serena enhances LLMs by providing essential tools for semantic code retrieval and editing. It integrates with existing LLMs, enabling them to perform coding tasks directly within your codebase. Serena supports multiple programming languages through the Language Server Protocol (LSP), including Python, Java, and TypeScript. It can be integrated with LLMs via the Model Context Protocol (MCP) or used with Agno, a model-agnostic agent framework.

Oops! It looks like you need to sign up

Before leaving a review you need to create an account. Don't worry, it only takes a moment and gives you access to exclusive content and updates. Ready to get started?