Skip to main content

A DLIS server implementation for MCP

Project description

DLIS MCP Server

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 hierarchical data structures.

Features

  • Extract channel data from DLIS files
  • Analyze DLIS file metadata
  • Support for hierarchical data structures
  • Easy integration with LLM applications

Installation

Using pip

pip install mcp_server_dlis

After installation, you can run it as a script using:

python -m mcp_server_dlis

Configuration

Configure for Claude.app

Add to your Claude settings:

"mcpServers": {
  "dlis": {
    "command": "dlis-server"
  }
}

Available Tools

Extract Channels

Extracts all channels from a DLIS file and saves them to a folder structure.

{
  "name": "extract_channels",
  "arguments": {}
}

Get Metadata

Extracts metadata from a DLIS file with hierarchical structure.

{
  "name": "get_meta",
  "arguments": {}
}

Example Usage

  1. Extract channels from a DLIS file:
{
  "name": "extract_channels",
  "arguments": {}
}
  1. Get metadata from a DLIS file:
{
  "name": "get_meta",
  "arguments": {}
}

Debugging

You can use the MCP inspector to debug the server:

npx @modelcontextprotocol/inspector mcp_server_dlis

Examples of Questions for Claude

  1. "What channels are available in this DLIS file?"
  2. "Show me the metadata structure of this DLIS file"
  3. "Extract all channels from this DLIS file"

Contributing

We encourage contributions to help expand and improve mcp_server_dlis. Whether you want to add new DLIS analysis tools, enhance existing functionality, or improve documentation, your input is valuable.

For examples of other MCP servers and implementation patterns, see: https://github.com/modelcontextprotocol/servers

Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp_server_dlis even more powerful and useful.

License

mcp_server_dlis is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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_dlis-0.1.0.tar.gz (8.9 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_dlis-0.1.0-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: mcp_server_dlis-0.1.0.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for mcp_server_dlis-0.1.0.tar.gz
Algorithm Hash digest
SHA256 ce6c91b040d1f7c5d29e92b7e59b206a373dd403efe72db07fc9556fa1c12296
MD5 b59e6d42cd4f11392d96319c11d5d1cb
BLAKE2b-256 cfa8b0478624dd688e3835a4f3086a20dde36c780169d607d5659ee9a1c275fe

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for mcp_server_dlis-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7085c4de214032064c88447b3a6df7e2ecac8955038669f882ec539ff1677e7e
MD5 988498cdde0eb9d3ebda3f5436b5d69d
BLAKE2b-256 1ce443c34c2f47848dea6311808ea8c3a93491e788e720e7760e8fcd5e671a25

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