An MCP server for reading dlis files
What is houtj dlis mcp server
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": "python",
"args": ["-m", "mcp_server_time"]
}
}
Available Tools
-
extract_channels
- Extracts all channels from a DLIS file and saves them to a folder structure.- Required arguments:
file_path
: Path to the DLIS file to analyze
- Required arguments:
-
get Metadata
- Extracts metadata from a DLIS file with hierarchical structure.- Required arguments:
file_path
: Path to the DLIS file to analyze
- Required arguments:
Example Usage
- Extract channels from a DLIS file:
{
"name": "extract_channels",
"arguments": {
"file_path": "path/to/your/dlis_file.dlis"
}
}
Response:
{
"output_path": "path/to/the/output/folder"
}
- Get metadata from a DLIS file:
{
"name": "extract_channels",
"arguments": {
"file_path": "path/to/your/dlis_file.dlis"
}
}
Response:
{
"output_path": "path/to/the/output/file.txt"
}
Debugging
You can use the MCP inspector to debug the server:
npx @modelcontextprotocol/inspector mcp_server_dlis
Examples of Questions for Claude
- "What channels are available in this DLIS file at path/to/dlis/file.dlis?"
- "Show me the metadata structure of this DLIS file at path/to/dlis/file.dlis"
- "Extract all channels from this DLIS file at path/to/dlis/file.dlis"
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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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