MCP Observatory
pypi analyzed 0.0.1

gigi-mcp

v0.0.1
pypi

MCP server for GIGI — fiber-bundle persistent memory and reasoning for Claude and other MCP-aware LLM clients

maintainer
—
license
MIT
first seen
2026-06-06
last seen
2026-06-06
releases · 30d
1
short id
risk 24/100 · heuristic grade
B low
  • capability exposureinferred+12
  • inherited (deps)attested+15
  • trust mitigatorsmixed−3

attestedinferredmixed

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 16m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • C · 40 → B · 24
capability exposure grade factor +12
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

inherited (deps) · grade factor +15

inherited via dependencies 3
HIGH
MCP Python SDK vulnerability in the FastMCP Server causes validation error, leading to DoS via mcp · 1 hop CVE-2025-53366 fixed in 1.9.4
HIGH
Model Context Protocol (MCP) Python SDK does not enable DNS rebinding protection by default via mcp · 1 hop CVE-2025-66416 fixed in 1.23.0
HIGH
MCP Python SDK has Unhandled Exception in Streamable HTTP Transport, Leading to Denial of Service via mcp · 1 hop CVE-2025-53365 fixed in 1.10.0
tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/pypi:gigi-mcp/badge.svg)](https://mcpobservatory.com/servers/pypi:gigi-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.