71
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19 days ago
glama

wardcat-mcp

MCP server providing on-prem PII detection and anonymization tools (scan and is_sensitive) for AI agents, ensuring data stays local.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configWARDCAT_ACTION"": "redact",
configWARDCAT_SALT"": "your-secret-salt",
configWARDCAT_SPACY_MODELEnable SpaCy NER with this model (needs the ner extra).
configWARDCAT_LLM_MODELis_sensitive(text) Holistic LLM yes/no on whether the text contains sensitive information. Requires the LLM layer ().
configWARDCAT_LLM_BASE_URL
configWARDCAT_ENTITIESbroad structural + name set Comma-separated entity types to enable.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/oguzhantopcu0-wardcat-mcp-172nto)](https://m8ven.ai/mcp/oguzhantopcu0-wardcat-mcp-172nto)
commit: fb37b69405e446463a262c298835656befa2d391
code hash: 684de8a0c38bb87fd3c04b1604b13a80f4ec4b8c3f47684fed0f0b509c4f4ac2
verified: 7/12/2026, 8:35:01 AM
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