mazzap — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by zymazza · MCP Server · ★ 146

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is mazzap safe to install? View the security audit →

About mazzap

Mazzap v2 — a georeferenced 3D digital-twin engine https://github.com/user-attachments/assets/deb9e860-abf8-4e34-ab9b-88b3c7a2643f Mazzap v2 turns a patch of real ground into a standalone, fully georeferenced 3D digital twin you can open in a browser, click to read true GPS coordinates, drape your own map layers onto the terrain, and ask questions about in natural language. No database, no cloud, no build step at view time: one tiny zero-dependency Node static server serves a Three.js viewer over a self-contained bundle of geospatial data. Nothing is fetched from the network when you view it. Requires Node ≥ 18 (the server uses the built-in ); the data pipeline scripts need Python 3 with GDAL (), numpy, pyproj, and Pillow. The MCP/chat path also needs the Python SDK from . If you'd rather not assemble that toolchain yourself, run it in a container — GDAL, numpy, Node, and the rest come pinned and pre-built. Point it at your own DEM and imagery (see "Build your own twin" below) — the engine is region-agnostic.

digital-twingeospatialgeospatial-analysisgeospatial-processinggeospatial-visualizationgismcp-serversimulation

Quick Facts

Stars146
Forks18
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score64.3642415793012/100
Open Issues3
Last Updated2026-07-24
Created2026-02-27
Platformsmcp, python
Est. Tokens~21k

Compatible Skills

These tools work well together with mazzap for enhanced workflows:

  • OpenEarthAgent — semantic(0.55)+complementary+same_lang+similar_pop+shared_platform (69%)
  • geosql — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • gdal-mcp — semantic(0.55)+rare_topics+same_lang+similar_pop+shared_platform (63%)

mazzap alternative? Top 6 similar tools

Looking for a mazzap alternative? If you're comparing mazzap with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • gdal-mcp by JordanGunn · ⭐ 73

    Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (R

  • mcp-google-map by cablate · ⭐ 457

    A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM pr

  • cesium-mcp by gaopengbin · ⭐ 137

    Protocol-agnostic CesiumJS AI control runtime for MCP, WebMCP, function calling, and browser agents.

  • reality-engine by grandgaming9321-prog · ⭐ 128

    Top Dynamic AI World Simulation & Storytelling Tools 2026

  • kicad-mcp-pro by oaslananka · ⭐ 97

    AI-ready MCP server for KiCad: automate schematic, PCB, ERC/DRC, DFM, BOM and manufacturing review from Claude

  • world-intel-mcp by marc-shade · ⭐ 608

    120-tool MCP server for real-time global intelligence: markets, SEC filings, conflict, military, cyber, climat

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Frequently Asked Questions

What is mazzap?

mazzap is Mazzap, part of the Mazzstack: essentials for the Singularity Slowlife. It is categorized as a MCP Server with 146 GitHub stars.

What programming language is mazzap written in?

mazzap is primarily written in Python. It covers topics such as digital-twin, geospatial, geospatial-analysis.

How do I install or use mazzap?

You can find installation instructions and usage details in the mazzap GitHub repository at github.com/zymazza/mazzap. The project has 146 stars and 18 forks, indicating an active community.

What license does mazzap use?

mazzap is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mazzap?

The top alternatives to mazzap on Agent Skills Hub include gdal-mcp, mcp-google-map, cesium-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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