A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract
Most AI and media services work still happens through a UI a human drives. Dlis MCP server moves it into the conversation instead. A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract information from DLIS files, including channel data and metadata, with support for.
The server publishes 2 tools. What each one is for:
extract_channels — Extracts all channels from a DLIS file and saves them to a folder structurefile_path — Path to the DLIS file to analyzeInstallation goes through your MCP client rather than a global install: point it at @modelcontextprotocol/inspector on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Dlis's toolset — extract_channels, file_path — is a fair guide to whether it matches your workflow. It is maintained by houtj; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Dlis's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| extract_channels | Extracts all channels from a DLIS file and saves them to a folder structure. |
| file_path | Path to the DLIS file to analyze |
{
"mcpServers": {
"dlis": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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