I’ve gotten bored of how many times people have asked me about TE AI (LLM) integrations at this stage, so I put a basic one together here: GitHub - askjarv/fim-mcp: A MCP for Fortra FIM/Tripwire Enterprise during a quiet five minutes

If you want to give it a go against your TE, effective you just need to download and unzip the repo, install python (latest version should be fine) and then follow the setup details in the readme.md file.

Here’s some conversations I’ve used to test it this morning to give an idea of what you can do: Get a list of nodes in your environment: MCP Node list

Get a list of policy test failures: MCP Node Policy Test Failures

Finds the hash of a file in the environment: MCP finding a file hash

Promote an element version: MCP Node Policy Test Failures

Review my allowlisting: MCP Allowlisting in FIM

and, from there, you LLM can start giving your graphics: MCP to graph for FIM

It’s a bit rough around the edges (it needs more robust tool definitions and limitations to be more effective/token efficient), but I’m curious if others have been experimenting in this space yet or had ideas of use cases that they’d want “built out” more?