# trilium-mcp

> trilium-mcp — ovden13-trilium-mcp. Use this tool when you need to integrate AI agents with TriliumNext notes, enabling them to read and write notes, labels, and relations via ETAPI. It solves problems of automated note management and knowledge graph updates, providing a seamless interface for AI agents to interact with TriliumNext data. Ideal for use cases requiring automated knowledge base updates, data synchronization, or AI-driven content creation.

Canonical page: https://skillsregistry.net/skills/ovden13-trilium-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ovden13-trilium-mcp

## Description

MCP server for TriliumNext: lets AI agents read/write notes, labels, relations via ETAPI

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/OVDEN13/trilium-mcp)

## 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": "ovden13-trilium-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ovden13-trilium-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ovden13-trilium-mcp/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