I followed ClearBlueJar's walkthrough here and I was able to use the original GhidraMCP with a local LLM, which is a must for my work.
After getting things glued to the OpenWeb-UI (which was basically just a docker command), the meat of running GhidraMCP was running uvx mcpo --host localhost --port 1337 -- uv run bridge_mcp_ghidra.py.
I wanted to try out your improvements to GhidraMCP to see if they yielded improved results for my analysis-acceleration tests, but it seems like you don't have a bridge_mcp_ghidra.py anymore like the original (although there's still vestiges of it in the documentation). And the current install suggestion of npx -y @smithery/cli install @DaCodeChick/GhidraMCP --client claude mentions claude and therefore it seems like it wouldn't be the offline version I need.
Do you have any suggestion for what the minimum change would be to update the steps from the ClearBlueJar walkthrough to work with your plugin fork? Thanks a bunch.
I followed ClearBlueJar's walkthrough here and I was able to use the original GhidraMCP with a local LLM, which is a must for my work.
After getting things glued to the OpenWeb-UI (which was basically just a docker command), the meat of running GhidraMCP was running
uvx mcpo --host localhost --port 1337 -- uv run bridge_mcp_ghidra.py.I wanted to try out your improvements to GhidraMCP to see if they yielded improved results for my analysis-acceleration tests, but it seems like you don't have a
bridge_mcp_ghidra.pyanymore like the original (although there's still vestiges of it in the documentation). And the current install suggestion ofnpx -y @smithery/cli install @DaCodeChick/GhidraMCP --client claudementions claude and therefore it seems like it wouldn't be the offline version I need.Do you have any suggestion for what the minimum change would be to update the steps from the ClearBlueJar walkthrough to work with your plugin fork? Thanks a bunch.