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VikingDB MCP server

VikingDB MCP server

Local
github.com/KashiwaByteDatabases6Updated 62w ago

About VikingDB MCP server

VikingDB MCP server connects MCP clients to VikingDB, ByteDance’s vector database. It provides tools for collection and index information, storing information, and searching it.

Key features

  1. 01Describe VikingDB collections
  2. 02Describe VikingDB indexes
  3. 03Upsert information
  4. 04Search stored information

Use cases

  1. 01Review a collection’s details
  2. 02Inspect an index
  3. 03Store information in VikingDB
  4. 04Search VikingDB for information

MCP support

Exposes VikingDB collection and index information, upsert, and search tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"vikingdb": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MseeP.ai Security Assessment Badge

VikingDB MCP server

Trust Score

smithery badge 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
  1. Build package distributions:
uv build

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

  1. 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.

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