Head to head
Edgehound vs MCP GSC AI Agent Carrier Class Fleet
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
Edgehound
Aio.github.Energixe/edgehound-mcpNo reviews yet
Writes adversarial test suites for AI-built code. Your agent's test engineer.
Full listingMCP GSC AI Agent Carrier Class Fleet
Bio.github.greencore-solutions/gsc-fleet-mcpNo reviews yet
BPC Sustainable Carrier Agents - Low Token Zero Inference
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Edgehound (97/100 against 84).
| Edgehound | MCP GSC AI Agent Carrier Class Fleet | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A97/100 | B84/100 |
| Adoption | — | — |
| GitHub stars | – | – |
| Downloads / week | – | – |
| Runs where | Hosted (remote) | Hosted (remote) |
| Gateway-ready | Yes | Yes |
| Tools | — | 11 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | — | — |
| Last release | — | — |
| Category | AI and agents | AI and agents |