MCP server for introducing VikingDB collections and indexes, upserting information, and searching stored data.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.
npx -y @smithery/cliNo response to initialize.
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Vikingdb MCP Server.
an mcp server for vikingdb store and search
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
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
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.
To install VikingDB MCP server for Claude Desktop automatically via Smithery:
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
Published Servers Configuration
To prepare the package for distribution:
This will create source and wheel distributions in the dist/ directory.
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince 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:
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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