# MCP TriliumNext

> Use this tool when you need to integrate AI assistants with your TriliumNext knowledge base, enabling them to create, search, read, and update notes seamlessly. It solves problems of note management and knowledge retrieval, providing a unified interface for AI agents to interact with your notes. By using MCP TriliumNext, you can unlock efficient knowledge base management and automation capabilities.

Canonical page: https://skillsregistry.net/skills/radonx-mcp-trilium  
JSON: https://api.skillsregistry.net/v1/skills/radonx-mcp-trilium

## Description

A Model Context Protocol server enabling AI assistants to interact with TriliumNext notes, providing tools for creating, searching, reading, and updating notes in your knowledge base.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dqa9f8ty3k)
- **Repository:** <https://github.com/RadonX/mcp-trilium>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "radonx-mcp-trilium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/radonx-mcp-trilium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/radonx-mcp-trilium/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt