# openviking

> Use this tool when you need to perform advanced semantic searches or retrieve information from a knowledge graph. OpenViking enables you to leverage the power of a Context Database MCP server for robust information retrieval and question answering. It accepts natural language inputs and returns relevant results, making it ideal for applications requiring intelligent search and data retrieval.

Canonical page: https://skillsregistry.net/skills/zaynjarvis-openviking  
JSON: https://api.skillsregistry.net/v1/skills/zaynjarvis-openviking

## Description

RAG and semantic search via OpenViking Context Database MCP server.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** database
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zaynjarvis-openviking)

## 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": "zaynjarvis-openviking"
    }
  }
}
```

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