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MCP server · AI

Eag S5 Assignment

· github.com/anirudhjayaraman/eag_s5_assignment

🌿 QuantRisk VaR Model Validator: A quantitative risk model outcomes backtesting engine (SR 11-7 / Basel framework) using FastMCP, LLM Gateway V2, and Prefab UI.

Unclaimed llm-agentmodel-context-protocolprefab-uiquantitative-financerisk-managementvalue-at-risk
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About Eag S5 Assignment

Eag S5 Assignment is an MCP server in the AI category: 🌿 QuantRisk VaR Model Validator: A quantitative risk model outcomes backtesting engine (SR 11-7 / Basel framework) using FastMCP, LLM Gateway V2, and Prefab UI. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/anirudhjayaraman/eag_s5_assignment

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About Eag S5 Assignment

How do I install Eag S5 Assignment?

Run git clone https://github.com/anirudhjayaraman/eag_s5_assignment, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Eag S5 Assignment safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Eag S5 Assignment still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.