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Explorer/MCP/cignal-ai/tensorfire
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Tensorfire

cignal-ai/tensorfire

MCP server for security-testing AI models, exposing garak vulnerability scanning and URL/MCP-endpoint scanning as callable tools. It lets agents probe LLM endpoints for jailbreaks, prompt injection, and data leakage, and classify URLs or screen remote MCP endpoints for prompt-injection payloads.

↗cignal-ai/tensorfireExternal link; availability not verifiedLicenseMIT LicenseOfficial publisherRemote-capable
The Newcomer
Hasn't been around long. Nothing caught our attention, but there isn't much history to go on yet.
Time indexed (2mo)
0toolsRemote/ HTTP2moindexed
Checked Aug 4, 2026
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Not enough data to score this server yet.
First indexed Aug 3, 2026
Server Profile
⚙
Tools catalogued
0
No tools reported by this server.
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Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
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Registry presence
Not verified
Not yet verified by the Official MCP Registry.
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Liveness
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No liveness checks recorded yet.
Publisher Verification
Not listed on the Official MCP Registry.
Source repository is available for review.
↗cignal-ai/tensorfireExternal link; availability not verified
Environment variables (6)
OPENAI_API_KEYstringOPTIONAL
OpenAI API key used for garak scanning of OpenAI-compatible endpoints
OPENAI_BASE_URLstringOPTIONALdefault: https://api.openai.com/v1
Base URL for OpenAI-compatible endpoints
TENSORFIRE_HOSTstringOPTIONALdefault: 0.0.0.0
Bind address for the server
TENSORFIRE_PORTstringOPTIONALdefault: 8000
Port for the server
TENSORFIRE_LOG_LEVELstringOPTIONALdefault: INFO
Log verbosity level
TENSORFIRE_TRANSPORTstringOPTIONALdefault: streamable-http
Transport protocol: 'streamable-http' or 'stdio'

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