isaac_mission_dispatch — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 nvidia-isaac · MCP Server · ★ 105

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

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

About isaac_mission_dispatch

Isaac Mission Dispatch Overview Isaac Mission Dispatch is a cloud service that enables the communication between edge robots and other cloud services responsible for managing a fleet of robots. The communication between Mission Dispatch and robots is designed per VDA5050 protocol and uses MQTT, as MQTT is the industry standard for a highly efficient, scalable protocol for connecting devices over the internet. VDA 5050 is an open standard for communication between fleets of AGVs/AMRs and a central fleet service. Diagram highlighting this package. Mission Dispatch and Client in green. This simplified diagram of a fleet management system on the left is connected to a robot running ROS 2 on the right. References are provided to database and MQTT services. Mission Dispatch needs to be integrated with the fleet management system of preference. A matching ROS 2 Mission Client is available for ROS 2 Humble or Jazzy; or use the VDA5050 connector from OTTO Motors & InOrbit AI on ROS 2 Galactic with Mission Dispatch. The Mission Dispatch system is composed of two main components: The mission database microservi

dockerfleet-managementmcpnvidiarobotroboticsros2ubuntuvda5050

Quick Facts

Stars105
Forks24
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score62.4100384237937/100
Open Issues4
Last Updated2026-09-15
Created2022-10-17
Platformsdocker, mcp, python
Est. Tokens~24k

Compatible Skills

These tools work well together with isaac_mission_dispatch for enhanced workflows:

  • robotics-agent-skills — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • bagel — semantic(0.32)+rare_topics+same_lang+similar_pop+shared_platform (50%)

isaac_mission_dispatch alternative? Top 6 similar tools

Looking for a isaac_mission_dispatch alternative? If you're comparing isaac_mission_dispatch 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.

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  • azure-ai-travel-agents by Azure-Samples · ⭐ 482

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Frequently Asked Questions

What is isaac_mission_dispatch?

isaac_mission_dispatch is VDA5050-compatible cloud service for fleet mission dispatch. It is categorized as a MCP Server with 105 GitHub stars.

What programming language is isaac_mission_dispatch written in?

isaac_mission_dispatch is primarily written in Python. It covers topics such as docker, fleet-management, mcp.

How do I install or use isaac_mission_dispatch?

You can find installation instructions and usage details in the isaac_mission_dispatch GitHub repository at github.com/nvidia-isaac/isaac_mission_dispatch. The project has 105 stars and 24 forks, indicating an active community.

What license does isaac_mission_dispatch use?

isaac_mission_dispatch is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to isaac_mission_dispatch?

The top alternatives to isaac_mission_dispatch on Agent Skills Hub include bagel, shodh-memory, homelab-monitor. 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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