Integrates Lineai's powerful codebase knowledge graphs with a Model Context Protocol (MCP) server
- capability exposure inferred + 28
- trust mitigators mixed − 11
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.
graded 7m ago · see ecosystem CVEs →
- B · 25 → B · 17
No known CVEs for this server.
- low dangerous code
env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call
analyzed v1.3.2 · analyzer v32 · 8h ago
skills & prompt files 10
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/about-codebase.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/best-practices.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/debugging.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/environment-variables.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/error-handling.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/mcp-server-pattern.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/style-guidelines.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/technologies.mdc
- agent-rules lineai_mcp_server-1.3.2/.cursor/rules/testing-approach.mdc
- agent-rules lineai_mcp_server-1.3.2/.github/copilot-instructions.md
[](https://mcpobservatory.com/servers/pypi:lineai-mcp-server/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.