MCPs
VikingDB MCP Server

VikingDB MCP Server

MCP server for managing and searching VikingDB vector databases.

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VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

Key Features

Implements Model Context Protocol (MCP)

Supports storing and searching vectorized information

Provides tools for managing VikingDB collections and indexes

Upsert and search features for AI/LLM context workflows

Integration with Claude Desktop via Smithery

Configuration of host, region, access/secret key, collection, and index

Supports both published and development server modes

Command-line and configuration file setup

Compatible with MCP Inspector for debugging

PyPI distribution and publishing support

Use Cases

Vector search and retrieval for AI applications

Enhancing LLM workflows with external context storage

Managing dynamic AI model prompts using VikingDB

Building scalable knowledge bases with vector representations

Upserting contextual information for model training or inference

Integration with Claude Desktop for local and remote queries

Facilitating similarity search in knowledge graphs

Interfacing standardized protocols with proprietary databases

Rapid prototyping with vector store-backed AI solutions

Debugging and inspecting context protocol compliance

README

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:

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

{
  "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:

Sync dependencies and update lockfile:

bash

uv sync

Build package distributions:

bash

uv build

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

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:

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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Repository Owner

KashiwaByte

User

Repository Details

Language Python

Default Branch main

Size 88 KB

Contributors 4

MCP Verified Nov 12, 2025

Programming Languages

Python

92.89%

Dockerfile

7.11%

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VikingDB MCP Server

Key Features

Use Cases

README

VikingDB MCP server

What is VikingDB

Tools

Configuration

Quickstart

Install

Installing via Smithery

Claude Desktop

Development

Building and Publishing

Debugging

Star History

Repository Owner

Repository Details

Programming Languages

Tags

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