Enable AI assistants to search, access, and update Kibela notes securely with MCP-kibela protocol
mcp-kibela is an MCP (Model Context Protocol) server that enables AI applications like Claude Desktop, Continue, Cursor, and other MCP clients to securely search and reference content stored in the Kibela platform. By leveraging the Model Context Protocol, this server acts as a standardized adapter between AI applications and the diverse data sources within Kibela, ensuring seamless integration and efficient access to rich information.
mcp-kibela supports essential functions that allow AI applications to interact with Kibela notes in a structured and secure manner:
These capabilities are underpinned by the MCP protocol, which standardizes interactions between AI applications and their respective backend services or tools, ensuring a consistent and predictable user experience across different platforms.
mcp-kibela is built with an extensible architecture that adheres strictly to MCP standards. It leverages the power of Docker for containerization, allowing easy deployment and scalability. The server employs environment variables for configuration management, ensuring minimal disruption during runtime adjustments.
The core protocol implementation involves parsing incoming requests according to MCP specifications, validating them through defined schemas, and executing the corresponding operations. These operations then interact with Kibela's API to fetch or modify notes as required, thereby maintaining data integrity while facilitating real-time information access.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[mcp-kibela Server]
C --> D[Kibela API]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
{
"kibela": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KIBELA_TEAM",
"-e",
"KIBELA_TOKEN",
"ghcr.io/kj455/mcp-kibela:latest"
],
"env": {
"KIBELA_TEAM": "your-team-name from https://[team-name].kibe.la",
"KIBELA_TOKEN": "your-token"
}
}
}
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "kibela_team",
"description": "Kibela team name",
"password": false
},
{
"type": "promptString",
"id": "kibela_token",
"description": "Kibela token",
"password": true
}
],
"servers": {
"kibela": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KIBELA_TEAM",
"-e",
"KIBELA_TOKEN",
"ghcr.io/kj455/mcp-kibela:latest"
],
"env": {
"KIBELA_TEAM": "${input:kibela_team}",
"KIBELA_TOKEN": "${input:kibela_token}"
}
}
}
}
}
{
"mcpServers": {
"mcp-kibela": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KIBELA_TEAM",
"-e",
"KIBELA_TOKEN",
"ghcr.io/kj455/mcp-kibela:latest"
],
"env": {
"KIBELA_TEAM": "your-team-name from https://[team-name].kibe.la",
"KIBELA_TOKEN": "your-token"
}
}
}
}
npx -y @smithery/cli install @kj455/mcp-kibela --client claude
In a product development environment, teams can integrate mcp-kibela to manage project documentation more efficiently. By using the "Note Search" feature, developers can quickly find relevant references and articles without leaving their development tools. This not only saves time but also ensures consistent access to accurate information across team members.
For customer support teams, mcp-kibela serves as a powerful tool for retrieving detailed product guides and troubleshooting steps securely from Kibela. The "My Notes" feature allows agents to manage their own notes about common issues or recent interactions, while the "Note by Path" capability ensures they can access critical information in real-time when needed.
mcp-kibela compatibility matrix shows its versatility: it’s fully supported by Claude Desktop and Continue for resources and tools. However, integration through prompts is limited to Claude Desktop due to technical constraints. The seamless interaction between these clients and the server highlights mcp-kibela's effectiveness in enhancing AI application functionality.
mcp-kibela ensures optimized performance by efficiently handling requests from various MCP clients across different platforms. It supports multiple versions of Node.js, making it adaptable to evolving technologies while maintaining backward compatibility where necessary.
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
For advanced configurations, users can customize the server setup through environment variables. Commonly adjusted settings include database connections and API keys, which are critical for maintaining data security. By following best practices in configuration management, developers ensure that sensitive information remains secure while optimizing performance.
A: Begin by setting up your environment with Node.js and integrating the server using one of the provided methods. Detailed instructions are available in the installation section.
A: mcp-kibela fully supports integration through Claude Desktop, Continue, and Cursor, ensuring a comprehensive user experience across these popular platforms.
A: Yes, you can configure API keys, database connections, and other sensitive information using environment variables. This allows fine-tuning of the server’s behavior to better suit specific needs.
A: Indeed, mcp-kibela supports various Node.js versions, ensuring wide compatibility while allowing for future updates and improvements.
A: The security measures remain consistent across environments due to robust API authentication mechanisms. However, best practices in security configurations should still be observed to prevent unauthorized access.
Contributions are always welcome! If you wish to contribute code or documentation to improve mcp-kibela, please follow these guidelines:
For more information on the broader MCP ecosystem and resources, visit Model Context Protocol Documentation. Here, you will find comprehensive guides to deepen your understanding of AI application integration methodologies.
By leveraging mcp-kibela, developers can create robust, secure, and efficient solutions for integrating Kibela content into their AI workflows, enhancing both productivity and accuracy in various domains.
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