MCP server for Obsidian is a server that interacts with Obsidian, a note-taking and knowledge management application, via the Local REST API community plugin. It enables users to perform various operations on their Obsidian vault such as listing files, searching content, appending or patching notes, and more.
The MCP server for Obsidian provides powerful tools to automate and enhance workflows within Obsidian by allowing programmatic access to its vault. This can help in managing large datasets of notes, automating repetitive tasks, integrating with external applications like Claude, and improving productivity through custom prompts and actions.
This tool is ideal for power users of Obsidian who want to integrate it with other systems, developers building plugins or automations around Obsidian, and professionals seeking advanced search and manipulation capabilities across their personal knowledge bases.
Configuration can be done either by adding the Obsidian REST API key to the server config file or by creating a .env file in the working directory containing the required OBSIDIAN_API_KEY variable. The API key can be found in the Obsidian plugin configuration settings.
You should set up the MCP server when you need enhanced control over your Obsidian vault programmatically, such as automating document creation, performing complex searches, or integrating Obsidian with third-party tools like Claude Desktop.
To get started, ensure you have the Obsidian REST API community plugin installed and enabled in Obsidian's settings. Copy the generated API key and configure it in the MCP server settings either via the server config or a .env file. Additionally, make sure any dependent applications (like Claude Desktop) are properly configured with the correct paths and keys.
Example prompts include: 'Get the contents of the last architecture call note and summarize them,' 'Search for all files where Azure CosmosDb is mentioned and quickly explain the context,' and 'Summarize the last meeting notes and put them into a new note ‘summary meeting.md’.' These examples demonstrate how to leverage the server’s capabilities effectively.
For optimal debugging, use the MCP Inspector which can be launched via npm with the command `npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-obsidian run mcp-obsidian`. This will provide a URL to access in your browser for debugging purposes. Server logs can also be monitored using `tail -n 20 -f ~/Library/Logs/Claude/mcp-server-mcp-obsidian.log`.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.