# ja-local-kb

> ja-local-kb — jefferyadventure519-byte-ja-local-kb. Use this tool when you need to retrieve information from Obsidian Markdown notes and answer questions based on evidence. It solves problems related to knowledge retrieval and question answering by providing high-recall embedding search and hybrid retrieval capabilities. The tool accepts Markdown notes as input and outputs relevant answers and evidence through three STDIO MCP tools.

Canonical page: https://skillsregistry.net/skills/jefferyadventure519-byte-ja-local-kb  
JSON: https://api.skillsregistry.net/v1/skills/jefferyadventure519-byte-ja-local-kb

## Description

A local knowledge base MCP server that enables retrieval and evidence-based Q&A over Obsidian Markdown notes, with high-recall embedding search, chunked indexing, hybrid retrieval, and three STDIO MCP tools for agent-driven recollection and quality-gated recall.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/psvl2kbnbb)
- **Repository:** <https://github.com/jefferyadventure519-byte/ja-local-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": "jefferyadventure519-byte-ja-local-kb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jefferyadventure519-byte-ja-local-kb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jefferyadventure519-byte-ja-local-kb/pull`

---
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
