Frequently Asked Questions (FAQ) about DLIS MCP Server

Q: What is a DLIS MCP Server? A: A DLIS MCP Server is a Model Context Protocol server that enables Large Language Models (LLMs) to access and analyze data stored in DLIS (Digital Log Interchange Standard) files. It extracts channel data and metadata, making it accessible for AI applications.

Q: What is DLIS? A: DLIS stands for Digital Log Interchange Standard. It’s a file format commonly used in the oil and gas industry to store subsurface data, such as well logs and seismic data.

Q: How does the DLIS MCP Server work? A: The server acts as a bridge between DLIS files and LLMs. It extracts data from DLIS files based on requests from the LLM using the Model Context Protocol, and then sends the data to the LLM for analysis.

Q: What are the benefits of using a DLIS MCP Server? A: Key benefits include: enabling LLMs to analyze DLIS data, automating log analysis, enhancing subsurface interpretation, and improving reservoir modeling.

Q: What kind of data can be extracted from DLIS files using this server? A: The server can extract both channel data (the actual measurements recorded in the well log) and metadata (information about the well, logging tools, and data acquisition process).

Q: How do I install the DLIS MCP Server? A: You can install it using pip with the command: pip install mcp_server_dlis.

Q: How do I configure the server for Claude.app? A: Add the following configuration to your Claude settings:

“mcpServers”: { “dlis”: { “command”: “python”, “args”: [“-m”, “mcp_server_dlis”] } }

Q: What tools are available with the DLIS MCP Server? A: The server provides two tools: extract_channels (to extract channel data) and get_metadata (to extract metadata).

Q: How do I use the extract_channels tool? A: Provide the file path to your DLIS file as an argument:

{ “name”: “extract_channels”, “arguments”: { “file_path”: “path/to/your/dlis_file.dlis” } }

Q: How do I use the get_metadata tool? A: Provide the file path to your DLIS file as an argument:

{ “name”: “get_metadata”, “arguments”: { “file_path”: “path/to/your/dlis_file.dlis” } }

Q: How can I debug the DLIS MCP Server? A: Use the MCP inspector with the command: npx @modelcontextprotocol/inspector mcp_server_dlis.

Q: What are some example questions I can ask Claude after connecting the DLIS MCP Server? A: Here are a few examples:

• “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”

Q: Is the DLIS MCP Server open source? A: Yes, it’s licensed under the MIT License.

Q: Can I contribute to the project? A: Yes, contributions are welcome! See the contributing guidelines in the project repository.

Q: How does this server integrate with UBOS? A: When integrated with UBOS platform it allows to orchestrate DLIS Data Pipelines, Build Custom AI Agents for Subsurface Analysis, Connect DLIS Data with Other Enterprise Systems and Deploy and Manage AI Agents at Scale.