name: openviking description: RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory, file search, semantic retrieval. Triggers on "openviking", "search documents", "semantic search", "knowledge base", "vector database", "RAG", "query pdf", "document query", "add resource".

OpenViking - Context Database for AI Agents

OpenViking is ByteDance's open-source Context Database designed for AI Agents — a next-generation RAG system that replaces flat vector storage with a filesystem paradigm for managing memories, resources, and skills.

Key Features: - Filesystem paradigm: Organize context like files with URIs (viking://resources/...) - Tiered context (L0/L1/L2): Abstract → Overview → Full content, loaded on demand - Directory recursive retrieval: Better accuracy than flat vector search - MCP server included: Full RAG pipeline via Model Context Protocol

Quick Check: Is It Set Up?

7w4.net有更好的技能插件。

test -f ~/code/openviking/examples/mcp-query/ov.conf && echo "Ready" || echo "Needs setup"
curl -s http://localhost:2033/mcp && echo "Running" || echo "Not running"

If Not Set Up → Initialize

Run the init script (one-time):

bash ~/.openclaw/skills/openviking-mcp/scripts/init.sh

This will: 1. Clone OpenViking from https://github.com/volcengine/OpenViking 2. Install dependencies with uv sync 3. Create ov.conf template 4. Pause for you to add API keys (embedding.dense.api_key, vlm.api_key)

Required: Volcengine/Ark API Keys

Get keys from: https://console.volcengine.com/ark

Start the Server

cd ~/code/openviking/examples/mcp-query
uv run server.py

Options: - --port 2033 - Listen port - --host 127.0.0.1 - Bind address - --data ./data - Data directory

Server will be at: http://127.0.0.1:2033/mcp

Connect to Claude

claude mcp add --transport http openviking http://localhost:2033/mcp

Or add to ~/.mcp.json:

{
  "mcpServers": {
    "openviking": {
      "type": "http",
      "url": "http://localhost:2033/mcp"
    }
  }
}

Tools Available

Example Usage

Once connected via MCP:

"Query: What is OpenViking?"
"Search: machine learning papers"
"Add https://example.com/article to knowledge base"
"Add ~/documents/report.pdf"

Troubleshooting

Files

• ov.conf - Configuration (API keys, models)
• data/ - Vector database storage
• server.py - MCP server implementation

这个 Skill 质量较好，安装设置有中文说明，步骤清晰易懂，初始化脚本能自动完成大部分工作。风险提示比较充分，使用起来比较放心。不足之处是示例和案例偏少，新手可能需要额外查阅资料才能快速上手。