Official PostHog MCP integration for Prime Agent: talks to PostHog's own MCP server (mcp.posthog.com) with a project-scoped personal API key, giving the agent analytics, funnels, path/user-flow analysis, trends, dashboards, and session replay out of the box (MIT).
This grade was produced by analyzer v30 , 3 version s behind the one running now. Detectors added since have not been applied here, so it is not directly comparable with a server analyzed at the current version. A re-scan is queued.
- capability exposure inferred + 4
inferred
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.
graded 7m ago · see ecosystem CVEs →
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
analyzed commit 40d9532 · analyzer v30 · 2w ago
skills & prompt files 1
danger signals2
- suspicious endpoint mcp.posthog.com (telemetry) gbrlpzz-prime-agent-posthog-mcp-40d9532/src/posthog/__init__.py :35
POSTHOG_MCP_URL = "https://mcp.posthog.com/mcp" - suspicious endpoint mcp.posthog.com (telemetry) gbrlpzz-prime-agent-posthog-mcp-40d9532/tests/test_skill.py :101
self.assertEqual(POSTHOG_MCP_URL, "https://mcp.posthog.com/mcp")
[](https://mcpobservatory.com/servers/github:gbrlpzz/prime-agent-posthog-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 gbrlpzz.