MCP-INDEX

◆ LLM analysis failed. Retry

davidgut1982/lore-mcpcritical

Advanced MCP server for unified knowledge management with PostgreSQL+pgvector, knowledge graphs, research workflows, and Claude Code integration

Lore is an operational knowledge layer for engineering teams and AI agents. It provides a unified knowledge base with PostgreSQL+pgvector, knowledge g...

purpose: Lore is an operational knowledge layer for engineethreat: network exposed

Python · ★ 2 · Jun 4, 2026 · ⚙ Jun 2, 2026 · GITHUB ↗

heuristic signalspostgres.access shell.exec env.exposure filesystem.read auth.none aws.integration network.http

RISK SCORE

0/ 100 risk

high findings+100

medium findings+60

capped at100

Indicators — descriptive signals, not vulnerabilities

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:9import importlib

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:52 module = importlib.import_module(module_path)

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:83 module = importlib.import_module(server_module_name)

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:146 module = importlib.import_module(server_name)

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:203 module = importlib.import_module(server_name)

dynamic-importsrc/lore/mcp_http_wrapper_sse.py:380 import importlib as _importlib

These are automated indicators of code characteristics detected by regex pattern matching. They are informational, not security verdicts. Some patterns (e.g. telegram, crypto-wallet) may reflect legitimate functionality.

Analysis failed

Findings are produced by automated LLM analysis and may include false positives or miss issues. Verify independently before acting.