Vikingdb MCP Server

Community Data and databases

VikingDB integration: collection and index info, vector storage and search.

What can you do with Vikingdb MCP Server?

  • 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

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. VikingDB MCP server
  2. What is VikingDB
  3. Configuration
  4. Quickstart
  5. Development

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Development/Unpublished Servers Configuration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: bash uv sync
  2. Build package distributions: bash uv build

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

  1. Publish to PyPI: bash 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.

Frequently asked questions

What is Vikingdb MCP Server?

VikingDB integration: collection and index info, vector storage and search.

How do I install Vikingdb MCP Server?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Vikingdb MCP Server open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Vikingdb MCP Server?

It is published by KashiwaByte. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.