# Candlekeep

> Use this tool when you need to efficiently manage and retrieve technical documentation for AI agents. Candlekeep solves the problem of knowledge base management by providing a centralized server for searching and retrieving relevant information through the Model Context Protocol. It takes in queries and documentation as inputs and outputs relevant technical information, making it ideal for use cases where AI agents require access to specific knowledge bases.

Canonical page: https://skillsregistry.net/skills/bansheeemperor-candlekeep  
JSON: https://api.skillsregistry.net/v1/skills/bansheeemperor-candlekeep

## Description

A RAG knowledge base server that enables AI agents to search, retrieve, and manage technical documentation through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/drpezpfglj)
- **Repository:** <https://github.com/BansheeEmperor/candlekeep>

## 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": "bansheeemperor-candlekeep"
    }
  }
}
```

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