Kibela MCP Server: Integrate Your AI Applications Seamlessly

Overview: What is Kibela MCP Server?

Kibela MCP Server serves as a universal adapter for integrating AI applications, such as Claude Desktop and other clients that support the Model Context Protocol (MCP). It bridges the gap between these applications and Kibela, enabling users to leverage the rich features of Kibela within their AI workflows. The server's primary function is to facilitate secure and efficient data exchange using the MCP protocol.

🔧 Core Features & MCP Capabilities

Kibela MCP Server offers a range of core features that are designed to meet the demands of AI applications:

1. Tool Operations

• Note Operations: Search, create, update, and manage notes within Kibela.
  • search_kibela_note: Search for specific keywords in notes with advanced filtering options such as co-editing, group IDs, and folder IDs.
  • get_kibela_note_by_relay_id: Retrieve a note by its unique Relay ID.
  • get_kibela_note_from_path_or_url: Fetch a note using either its path or URL.
  • create_kibela_note: Add new notes with customizable content, group memberships, and folder associations.
  • update_kibela_note_content: Modify the contents of existing notes.

2. Folder Operations

• Organize Content: Manage folders and organize notes effectively.
  • search_kibela_folder: Find folders based on search criteria.
  • get_kibela_folder_by_relay_id: Access a folder by its Relay ID.
  • create_kibela_folder: Establish new folders with complete path specification.
  • move_kibela_note_to_another_folder: Transfer notes between different folders.
  • attach_kibela_note_to_folder: Associate notes directly to specific folders.

3. Comment Operations

• Enhance Interaction: Engage in commentary and discussion through user-generated content.
  • create_kibela_comment: Add comments on existing notes.
  • create_kibela_comment_reply: Respond to other users' comments.

4. Other Operations

• Facilitate Exploration: Gain insights into groups, feed sections, and more.
  • get_kibela_groups: Retrieve a list of available groups.
  • get_kibela_feed_sections: Explore section-specific feeds for targeted content retrieval.

⚙️ MCP Architecture & Protocol Implementation

The Kibela MCP Server implements the Model Context Protocol (MCP) using structured JSON and GraphQL. The server is designed to be robust, with detailed API documentation and clear instructions on how to integrate it into various AI applications.

Protocol Flow Diagram

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[Kibela MCP Server]
    C --> D[Kibela Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5

MCP Client Compatibility Matrix

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

🚀 Getting Started with Installation

To get started, follow these steps to set up and install Kibela MCP Server.

Example: Installing for Claude Desktop Usage

1. Prepare Configuration File: Write the following JSON configuration to claude_desktop_config.json. Set your Kibela origin and access token as environment variables.

   {
     "mcpServers": {
       "kibela": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "-e",
           "KIBELA_ORIGIN",
           "-e",
           "KIBELA_ACCESS_TOKEN",
           "ghcr.io/kibela/kibela-mcp-server"
         ],
         "env": {
           "KIBELA_ORIGIN": "https://your-subdomain.kibe.la",
           "KIBELA_ACCESS_TOKEN": "***"
         }
       }
     }
   }
   

2. No Docker Install: If you prefer not to use Docker, set the script as the execution command.

   {
     "mcpServers": {
       "kibela": {
         "command": "/path/to/kibela-mcp-server/bin/cli.mjs",
         "env": {
           "KIBELA_ORIGIN": "https://your-subdomain.kibe.la",
           "KIBELA_ACCESS_TOKEN": "***"
         }
       }
     }
   }
   

💡 Key Use Cases in AI Workflows

Use Case 1: Information Searching

• Scenario: A researcher needs to gather articles related to a specific topic.
• Implementation: Utilize the search_kibela_note tool to find relevant notes across different folders and groups. This allows for efficient knowledge management within Kibela.

Use Case 2: Writing Assistance

• Scenario: An author is working on a manuscript that requires collaborative editing and feedback.
• Implementation: Use MCP to link Claude Desktop with Kibela, enabling real-time note modifications and comment exchanges. This ensures a seamless editing process with version control and collaboration features.

🔌 Integration with MCP Clients

Kibela MCP Server supports integration with popular AI applications such as:

1. Claude Desktop

• Resources: ✅ Access to all Kibela resources.
• Tools: ✅ Use of advanced filtering and note management tools.
• Prompts: ✅ Ability to create dynamic prompts for generating content.

2. Continue

• Resources: ✅ Full access to notes, folders, and groups.
• Tools: ✅ Enhanced folder organizing and managing capabilities.
• Prompts: ✅ Create custom prompts for task-driven workflows.

📊 Performance & Compatibility Matrix

Kibela MCP Server has been rigorously tested across multiple clients to ensure compatibility and optimal performance. For detailed information, refer to the MCP server documentation.

{
  "mcpServers": {
    "kibela": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-kibela"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

🛠️ Advanced Configuration & Security

To ensure security and flexibility, users can configure the server using custom JSON configurations. This includes setting environment variables and specifying API keys.

Example Configuration

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

❓ Frequently Asked Questions (FAQ)

Q1: How do I integrate Kibela MCP Server with my AI application?

• To integrate, you need to configure the server according to your chosen client's specific requirements. Ensure that all environment variables and APIs are correctly set up.

Q2: Can users leverage the full range of Kibela tools through MCP?

• Yes, Kibela tools can be fully utilized via MCP, providing robust support for note management, folder organization, and more.

Q3: What is the status of integration with lesser-known clients?

• Currently, only well-established AI applications like Claude Desktop, Continue, and Cursor have full support. Lesser-known clients are being evaluated and may gain support in future updates.

Q4: How does Kibela MCP Server ensure data security during transmission?

• Data is transmitted using secure protocols and encryption methods to guarantee privacy and prevent unauthorized access.

Q5: Is there any ongoing maintenance or updates for the server?

• Regular updates are provided to address bugs, improve performance, and enhance compatibility with new AI applications. Users are encouraged to follow official channels for notifications and resources.

👨‍💻 Development & Contribution Guidelines

For developers interested in contributing to Kibela MCP Server, detailed contribution guidelines are available on the project's GitHub repository.

• Clone Repository: git clone https://github.com/kibela/mcp-server.git
• Set Up Environment: Follow the instructions provided in the project’s README.
• Run Tests: Ensure that all tests pass before making changes.

🌐 MCP Ecosystem & Resources

Explore more about the broader MCP ecosystem and valuable resources for developers:

• MCP Documentation: Detailed documentation on protocol implementation and integration best practices.
• Community Forums: Engage in discussions with other developers and contributors.
• Official GitHub Repository: Access code, issues, and pull requests.

By leveraging Kibela MCP Server, AI application developers can build powerful integrations that enhance user experience and expand functionality. Dive into the documentation and start building your next innovative solution today!