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    Vikingdb Mcp Server

    a mcp server for vikingdb store and search

    3 stars
    Python
    Updated Aug 18, 2025

    Table of Contents

    • What is VikingDB
    • Tools
    • Configuration
    • Quickstart
    • Install
    • Installing via Smithery
    • Claude Desktop
    • Development
    • Building and Publishing
    • Debugging

    Table of Contents

    • What is VikingDB
    • Tools
    • Configuration
    • Quickstart
    • Install
    • Installing via Smithery
    • Claude Desktop
    • Development
    • Building and Publishing
    • Debugging

    Documentation

    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:

    bash
    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    Development/Unpublished Servers Configuration

    code
    {
      "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

    code
    {
        "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.

    3. 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](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

    bash
    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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