Mantic.dzind MCP Server

mantic.dzind npm v0.1.0

Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.

A Model Context Protocol server

Trust grade
A
92/100
Last scanned get badge →
Trust
A · 92/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
High
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 92/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 8 = 92. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−6 capability blast radius (high) — client exposure if the model is manipulated
−2 publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 2

high Read-and-egress in one tool: "create_webhook"MTC-FLOW-003

Tool "create_webhook" can both read sensitive data and send data to an external destination. Even without an explicit untrusted-input leg, this is a single-call data-exfiltration path if the model is ever manipulated.

Fix: Separate reading from sending; require explicit user confirmation before egress of file/secret contents.

Location: flow create_webhook

high Sensitive-source and external-sink co-existMTC-FLOW-004

Tools that read sensitive data ([create_webhook]) and tools that can send data out ([send_email, create_sms, create_webhook, upload_file]) are exposed together. An agent can move private data to the sink.

Evidence: sources [create_webhook] → sinks [send_email, create_sms, create_webhook, upload_file]

Fix: Keep secret-reading and egress capabilities on separate, separately-approved servers.

Location: flow create_webhook → send_email

Tools 53

Each tool and what it can reach — statically extracted from the published source.

  • create_webhooknetwork egressreads sensitive data
  • create_smsnetwork egress
  • send_emailnetwork egress
  • upload_filenetwork egress
  • add_contact_pointsno sensitive capability
  • add_contact_tagsno sensitive capability
  • add_contact_to_campaignno sensitive capability
  • add_contact_to_companyno sensitive capability
  • add_contact_to_segmentno sensitive capability
  • change_contact_stageno sensitive capability
Show 43 more tools ↓
  • create_assetno sensitive capability
  • create_campaignno sensitive capability
  • create_campaign_with_automationno sensitive capability
  • create_categoryno sensitive capability
  • create_companyno sensitive capability
  • create_contactno sensitive capability
  • create_contact_fieldno sensitive capability
  • create_email_templateno sensitive capability
  • create_noteno sensitive capability
  • create_pageno sensitive capability
  • create_reportno sensitive capability
  • create_segmentno sensitive capability
  • create_tagno sensitive capability
  • delete_contactno sensitive capability
  • execute_campaignno sensitive capability
  • get_assetno sensitive capability
  • get_campaignno sensitive capability
  • get_campaign_contactsno sensitive capability
  • get_contactno sensitive capability
  • get_contact_activityno sensitive capability
  • get_contact_notesno sensitive capability
  • get_emailno sensitive capability
  • get_email_statsno sensitive capability
  • get_formno sensitive capability
  • get_form_submissionsno sensitive capability
  • get_segment_contactsno sensitive capability
  • list_assetsno sensitive capability
  • list_campaignsno sensitive capability
  • list_categoriesno sensitive capability
  • list_companiesno sensitive capability
  • list_contact_fieldsno sensitive capability
  • list_emailsno sensitive capability
  • list_formsno sensitive capability
  • list_pagesno sensitive capability
  • list_reportsno sensitive capability
  • list_segmentsno sensitive capability
  • list_smsno sensitive capability
  • list_stagesno sensitive capability
  • list_tagsno sensitive capability
  • list_webhooksno sensitive capability
  • search_contactsno sensitive capability
  • subtract_contact_pointsno sensitive capability
  • update_contactno sensitive capability

Toxic flows 2

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v0.1.0 latest A 92/100 2 1.13.0 2026-09-07

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 92/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan mantic.dzind --online

Use the free API → How scoring works

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