# Datacore

> Use this tool when you need to organize and connect large amounts of information, and integrate task management with knowledge retrieval. Datacore solves problems of information overload and fragmented knowledge by providing a unified interface for storing, linking, and recalling data. It accepts various data inputs and outputs actionable insights, making it ideal for use cases requiring holistic information management and cognitive augmentation.

Canonical page: https://skillsregistry.net/skills/datacore-one-datacore  
JSON: https://api.skillsregistry.net/v1/skills/datacore-one-datacore

## Description

AI second-brain engine: GTD, knowledge graph, and engram memory over MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zh9ib30cle)
- **Repository:** <https://github.com/datacore-one/datacore>

## 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": "datacore-one-datacore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datacore-one-datacore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datacore-one-datacore/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