# OpenViking MCP Server

> Use this tool when you need to efficiently access and query large context databases, such as OpenViking, to retrieve specific information while minimizing token usage. It provides semantic search and tiered loading capabilities, allowing for flexible and detailed data retrieval. Ideal for applications like Claude Code, where optimized data access is crucial for performance and cost-effectiveness.

Canonical page: https://skillsregistry.net/skills/osushi-cr-openviking-mcp  
JSON: https://api.skillsregistry.net/v1/skills/osushi-cr-openviking-mcp

## Description

Provides semantic search and tiered loading (L0/L1/L2) to access OpenViking context DB from Claude Code, saving tokens by loading only the needed detail.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbx4r04ewd)
- **Repository:** <https://github.com/osushi-cr/openviking-mcp>

## 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": "osushi-cr-openviking-mcp"
    }
  }
}
```

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