Kashiwabyte Vikingdb MCP Server

🚀 VikingDB MCP Server

An MCP server implemented for storage and search in VikingDB

What is VikingDB

VikingDB is a high-performance vector database developed by ByteDance.

You can easily use it by referring to the following documentation: https://www.volcengine.com/docs/84313/1254444

Tools

The server implements the following tools:

• vikingdb-collection-intro: Introduces VikingDB's collections.
• vikingdb-index-intro: Introduces VikingDB's indexes.
• vikingdb-upsert-information: Inserts information into VikingDB for later use.
• vikingdb-search-information: Searches for information in VikingDB.

Configuration

🚀 Quick Start

📦 Installation

Install using Smithery

Automatically install the VikingDB MCP server for Claude Desktop via Smithery:

npx @smithery/cli install mcp-server-vikingdb --client claude

Claude Desktop

• MacOS: ~/Library/Application\ 支持/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json%

Configuration for a development/unreleased server

{
  "mcpServers": {
    "mcp-server-vikingdb": {
      "command": "uv",
      "args": [
        "--directory",
        "The directory where mcp-server-vikingdb is located",
        "run",
        "mcp-server-vikingdb",
        "--vikingdb-host", 
        "Your host",
        "--vikingdb-region", 
        "Your region",
        "--vikingdb-ak", 
        "Your access key",
        "--vikingdb-sk", 
        "Your secret key",
        "--collection-name",
        "Your collection name",
        "--index-name",
        "Your index name"
      ]
    }
  }
}

Configuration for a released server

{
    "mcpServers": {
      "mcp-server-vikingdb": {
        "command": "uvx",
        "args": [
          "mcp-server-vikingdb",
          "--vikingdb-host", 
          "Your host",
          "--vikingdb-region", 
          "Your region",
          "--vikingdb-ak", 
          "Your access key",
          "--vikingdb-sk", 
          "Your secret key",
          "--collection-name",
          "Your collection name",
          "--index-name",
          "Your index name"
        ]
     }
    }
  } 

🔧 Development

Build and Publish

To prepare the distribution package:

1. Synchronize dependencies and update the lock file:

uv sync

2. Build the distribution package:

uv build

This will create source and wheel distributions in the dist/ directory. 3. Publish to PyPI:

uv publish

Note: You need to set your PyPI credentials via environment variables or command-line arguments:

• Token: --token or UV_PUBLISH_TOKEN
• Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since the MCP server runs via stdio, debugging can be difficult. For the best debugging experience, we highly recommend using MCP Inspector.

You can start the MCP Inspector with the following command:

npx @modelcontextprotocol/inspector uv --directory The directory where mcp_server_vikingdb is located run mcp-server-vikingdb --vikingdb-host Your host --vikingdb-region Your region --vikingdb-ak Your access key --vikingdb-sk Your secret key --collection-name Your collection name --index-name Your index name

After starting, the Inspector will display a URL that you can open in your browser to start debugging.