No-train, on-prem code knowledge graph served to AI agents over MCP, with a hash-chained audit row for every read.
- capability exposure inferred + 10
- tool safety inferred + 2
- trust mitigators mixed − 3
inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
grade last moved 5d ago · see ecosystem CVEs →
- B · 23 → A · 9
- B · 25 → B · 23
- A · 9 → B · 25
- A · 12 → A · 9
No known CVEs for this server.
- low exfiltration combo
sensitive read and network capabilities split across this server's tools
[](https://mcpobservatory.com/servers/github:cognis-digital/codegraph-mcp/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of cognis-digital.