Server detail
The mcp-kibela tool bridges the gap between LLMs and Kibela, a cloud-based personal knowledge management system. For developers, this means your AI agent can now perform CRUD operations on your structured personal data, transforming a static knowledge base into a dynamic context source. Instead of manually pasting notes into a prompt, you can delegate information retrieval and updates to the model via the MCP standard. This is particularly useful for automating personal workflows, managing project snippets, or maintaining a persistent long-term memory for AI assistants without building a custom database wrapper from scratch.
An MCP server that exposes kj455/mcp-kibela capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
kj455-mcp-kibela
Call the MCP capabilities provided by kj455/mcp-kibela and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"kj455/mcp-kibela": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
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