What is Vikingdb Mcp Server

vikingdb-mcp-server is a server designed for storing and searching data in VikingDB, a high-performance vector database developed by ByteDance.

Use cases

Use cases for vikingdb-mcp-server include managing large datasets for AI models, performing complex queries in data analytics, and enabling fast search capabilities in applications.

How to use

To use vikingdb-mcp-server, install it via Smithery with the command ‘npx -y @smithery/cli install mcp-server-vikingdb --client claude’. Configure the server with necessary parameters such as vikingdb_host, vikingdb_region, vikingdb_ak, vikingdb_sk, collection_name, and index_name.

Key features

Key features of vikingdb-mcp-server include tools for introducing collections and indexes, upserting information, and searching for information within VikingDB.

Where to use

vikingdb-mcp-server can be used in various fields that require high-performance data storage and retrieval, such as machine learning, data analysis, and real-time applications.

VikingDB MCP server

an mcp server for vikingdb store and search

What is VikingDB

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

You can easily use it following the doc bellow:
https://www.volcengine.com/docs/84313/1254444

Tools

The server implements the following tools:

• vikingdb-colleciton-intro: introduce the collection of vikingdb

• vikingdb-index-intro: introduce the index of vikingdb

• vikingdb-upsert-information: upsert information to vikingdb for later use

• vikingdb-search-information: searche for information in the VikingDB

Configuration

• vikingdb_host: The host to use for the VikingDB server.

• vikingdb_region: The region to use for the VikingDB server.

• vikingdb_ak: The Access Key to use for the VikingDB server.

• vikingdb_sk: The Secret Key to use for the VikingDB server.

• collection_name: The name of the collection to use.

• index_name: The name of the index to use.

Quickstart

Install

Installing via Smithery

To install VikingDB MCP server for Claude Desktop automatically via Smithery:

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

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

{
  "mcpServers": {
    "mcp-server-vikingdb": {
      "command": "uv",
      "args": [
        "--directory",
        "dir to mcp-server-vikingdb",
        "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"
      ]
    }
  }
}

Published Servers Configuration

{
  "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

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

3. Publish to PyPI:

uv publish

Note: You’ll need to set PyPI credentials via environment variables or command flags:

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

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory dir_to_mcp_server_vikingdb 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

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.