github Python analyzed d1f965b

the-code-learner/mail-task-mcp-server

github

A self-hosted email and task control plane for MCP-compatible AI agents.

maintainer
the-code-learner
licence
Apache-2.0
first seen
2026-08-16
last seen
2026-09-06
releases · 30d
27
short id
risk 41/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 32
  • tool safety inferred + 12
  • 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 1w ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0 C · 41
capability exposure grade factor +32
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 5 findings · grade factor +12
  1. medium tool shadowing send_email

    tool "send_email" shadows a verified server's tool

    shadows @codefuturist/email-mcp

  2. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  3. 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

  4. 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

  5. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:the-code-learner/mail-task-mcp-server/badge.svg)](https://mcpobservatory.com/servers/github:the-code-learner/mail-task-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, or the fleet security of the-code-learner.