# OpenViking

> Use this tool when you need to organize and retrieve knowledge from large databases, and require advanced semantic search, document analysis, and full-text search capabilities. It solves problems related to information overload, knowledge discovery, and content summarization by providing six integrated tools for efficient knowledge base management. It takes in natural language queries and file inputs, and outputs relevant search results, summaries, and overviews through the stdio transport interface.

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

## Description

Integrates with OpenViking, an open-source context database designed for organizing and retrieving knowledge. Exposes six tools for semantic search, document reading, glob-based file matching, abstract and overview generation, and full-text search across OpenViking-managed knowledge bases. Requires a local OpenViking instance with configured embedding models and operates over the stdio transport.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fencith-openviking)
- **Repository:** <https://github.com/fencith/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": "fencith-openviking"
    }
  }
}
```

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