Capacities FAQs

Question 1

What kind of information can it retrieve from Capacities?

Accepted Answer

The server can perform comprehensive searches on your content using keywords and tags, list spaces and objects by type, retrieve full object content, access all tags with usage counts, and leverage the knowledge graph to fetch backlinks and contextual information relevant for RAG.

Question 2

Can I save information back to Capacities using this tool?

Accepted Answer

Yes, for Capacities Pro users utilizing 'API Mode', the server provides write tools. You can use these to save web links to a specified space or add content directly to your daily notes within Capacities, further integrating your AI workflows.

Question 3

What is Capacities MCP Server?

Accepted Answer

Capacities MCP Server acts as a Model Context Protocol (MCP) server, designed as a knowledge base connector for Retrieval-Augmented Generation (RAG). It seamlessly links your Capacities notes to various AI tools like Claude, Cursor, and OpenCode, enriching their context.

Question 4

How does it integrate with AI tools?

Accepted Answer

It provides RAG-optimized tools and integrates with AI clients via the Model Context Protocol (MCP). It supports multiple transport options, including stdio (default) and HTTP for web-based clients, allowing flexible configuration with tools like Claude Desktop and Cursor.

Question 5

Is Capacities MCP Server free to use?

Accepted Answer

Yes, it offers 'File Mode' for free users, allowing you to connect using exported ZIP files of your Capacities data. 'API Mode' is available for Capacities Pro users, providing direct access via an API key for more dynamic integrations and write functionalities.

Capacities

Capacities

主要功能

使用案例

主要功能

使用案例