ingero

by ingero-io · MCP Server · ★ 85

About ingero

eBPF agent and MCP server for GPU causal observability

causal-tracingcudacuda-graphsebpfgpugpu-monitoringgpu-observabilityincident-responsekubernetesmachine-learning

Quick Facts

Stars85
Forks11
LanguageC
CategoryMCP Server
LicenseApache-2.0
Quality Score35.75/100
Open Issues1
Last Updated2026-06-06
Created2026-03-09
Platformsk8s, mcp
Est. Tokens~2888k

Compatible Skills

These tools work well together with ingero for enhanced workflows:

  • env-doctor — semantic(0.52)+rare_topics+similar_pop+shared_platform (57%)
  • agentsight — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop (52%)
  • awesome-ai-sre — semantic(0.22)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • remote-gpu-trainer — semantic(0.21)+complementary+rare_topics+similar_pop (46%)
  • yetty — semantic(0.17)+complementary+same_lang+similar_pop (46%)

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Frequently Asked Questions

What is ingero?

ingero is eBPF agent and MCP server for GPU causal observability. It is categorized as a MCP Server with 85 GitHub stars.

What programming language is ingero written in?

ingero is primarily written in C. It covers topics such as causal-tracing, cuda, cuda-graphs.

How do I install or use ingero?

You can find installation instructions and usage details in the ingero GitHub repository at github.com/ingero-io/ingero. The project has 85 stars and 11 forks, indicating an active community.

What license does ingero use?

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

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