# kb-metabolism

> kb-metabolism — chenyk2016-kb-metabolism. Use this tool when you need to manage and organize notes with advanced features like search, reading, and statistical analysis. It solves problems related to information overload and knowledge retention by providing digestion and excretion features, allowing for efficient note management. The tool accepts notes as input and outputs searchable, readable, and statistically analyzed information, making it ideal for use cases where knowledge base management is crucial.

Canonical page: https://skillsregistry.net/skills/chenyk2016-kb-metabolism  
JSON: https://api.skillsregistry.net/v1/skills/chenyk2016-kb-metabolism

## Description

A knowledge base MCP server that manages notes with digestion and excretion features, supporting search, read, and stats tools.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/boevo2plz2)
- **Repository:** <https://github.com/chenyk2016/kb-metabolism>

## 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": "chenyk2016-kb-metabolism"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenyk2016-kb-metabolism` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenyk2016-kb-metabolism/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
