Question 1

What is the MCP Firmware Log Analysis Server?

Accepted Answer

The MCP Firmware Log Analysis Server is an AI-powered tool designed to help firmware developers quickly identify, analyze, and resolve critical issues in embedded systems through automated log parsing and expert-level analysis.

Question 2

How does the AI work in MCP Server?

Accepted Answer

MCP Server uses GPT-4 integration to provide expert-level firmware debugging insights, root cause analysis, actionable recommendations, and confidence scoring for identified issues.

Question 3

What log formats does MCP Server support?

Accepted Answer

MCP Server supports .log, .txt, and .json log files.

Question 4

What types of issues can MCP Server detect?

Accepted Answer

MCP Server can detect various issues, including hard faults, watchdog resets, sensor failures, assertions, panics, stack overflows, memory corruption, boot failures, hardware faults, and sensor issues.

Question 5

What kind of reports does MCP Server generate?

Accepted Answer

MCP Server generates HTML reports, JSON API responses, and Markdown exports.

Question 6

How do I install MCP Server?

Accepted Answer

First, clone the repository, then install the dependencies using `pip install -r requirements.txt`. Next, configure your OpenAI API key in a `.env` file. Finally, start the server using `python run_server.py`.

Question 7

What are the prerequisites for using MCP Server?

Accepted Answer

You need Python 3.8+, an OpenAI API key, and optionally, the `addr2line` tool for ELF symbol resolution.

Question 8

How do I access the web interface?

Accepted Answer

Navigate to http://localhost:8000 in your web browser after starting the server.

Question 9

Can I use MCP Server programmatically?

Accepted Answer

Yes, MCP Server provides a REST API that allows for programmatic integration. Example: `curl -X POST "http://localhost:8000/analyze-log" -F "log_file=@firmware_crash.log"`

Question 10

What environment variables can I configure?

Accepted Answer

You can configure OPENAI_API_KEY, OPENAI_MODEL, OPENAI_MAX_TOKENS, OPENAI_TEMPERATURE, HOST, PORT, DEBUG, MAX_LOG_LINES, and CONFIDENCE_THRESHOLD.

Question 11

What are the file limits for log analysis?

Accepted Answer

The maximum file size is 50MB, supported extensions are .log, .txt, .json, .elf, .bin, and the max log lines is 10,000 (configurable).

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