Skip to main content

a mcp server for vikingdb store and search

Project description

VikingDB MCP server

a mcp server for vikingdb store and search

Components

Tools

The server implements one tool:

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

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

Configuration

[TODO: Add configuration details specific to your implementation]

Quickstart

Install

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Development/Unpublished Servers Configuration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"
    ]
   }
  }
} 

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_vikingdb-0.1.0.tar.gz (54.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_vikingdb-0.1.0-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_vikingdb-0.1.0.tar.gz.

File metadata

  • Download URL: mcp_server_vikingdb-0.1.0.tar.gz
  • Upload date:
  • Size: 54.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.5

File hashes

Hashes for mcp_server_vikingdb-0.1.0.tar.gz
Algorithm Hash digest
SHA256 50c3a4310d201482bde65d4f373800ea638112f0f6ff9b5da6e1d228930f4882
MD5 aa966d6514b85d12fade2c49db55cb66
BLAKE2b-256 bb7e3a008d7e3b788fa6e78543e9ef664efc681812512be210ac60ee8356f2ed

See more details on using hashes here.

File details

Details for the file mcp_server_vikingdb-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_vikingdb-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f88392ec1ef195666b78bbc12e6db8711c4eb6ab876939d1b43bb6e44631948f
MD5 3bcdfb7196727c67a383ccfb98b1828f
BLAKE2b-256 41d80a4b95e481b99b2527f5328e319280674338f450982aecb4d8601d5261bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page