LeakageLens MCP
Audits local datasets and ML training code for target, temporal, and entity leakage, PII exposure, and invalid evaluation design, returning structured evidence and pass/review/block verdicts before model training.
Install
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
No configuration sample provided; see the repository.
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.