# kb

> Use this tool when you need to integrate multiple AI tools and projects under a unified knowledge base, enabling persistent learning and context sharing across Claude, Copilot, and Codex. It solves problems of knowledge fragmentation and decision tracking by storing notes and reflections, providing a shared foundation for AI-driven projects. This tool accepts project data and AI outputs as inputs, generating a unified knowledge graph as output.

Canonical page: https://skillsregistry.net/skills/okash1n-kb  
JSON: https://api.skillsregistry.net/v1/skills/okash1n-kb

## Description

A local MCP server that provides a shared context and learning foundation across multiple AI tools (Claude, Copilot, Codex) for multiple projects, enabling persistent knowledge, decisions, and gap reflection through note storage.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kvaapah0cp)
- **Repository:** <https://github.com/okash1n/kb>

## 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": "okash1n-kb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okash1n-kb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okash1n-kb/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