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  3. AI Engineering Labs
MCP server · RAG

AI Engineering Labs

by · github.com/maxencebernardhub/ai-engineering-labs

Hands-on AI engineering labs: OpenAI, Anthropic, Google, local models. From a first API call to an agent deployed live on AWS: RAG, LangChain, LangGraph & Deep Agents, multi-provider routing, offline inference, FastAPI, Docker, Lambda.

Unclaimed agentsai-engineeringanthropicawsaws-lambdaclaudedockerfastapigeminijupyterlangchainlanggraphllmlocal-llmmcpollamaopenaipythonragserverless
InstallView source
34Low

Scored a month ago · breakdown

About AI Engineering Labs

AI Engineering Labs is an MCP server published by maxencebernardhub in the RAG category: hands-on AI engineering labs: OpenAI, Anthropic, Google, local models. From a first API call to an agent deployed live on AWS: RAG, LangChain, LangGraph & Deep Agents, multi-provider routing, offline inference, FastAPI, Docker, Lambda.

The repository has 2 stars and 0 forks.

Install

From source
git clone https://github.com/maxencebernardhub/ai-engineering-labs

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 AI Engineering Labs

How do I install AI Engineering Labs?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AI Engineering Labs 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 AI Engineering Labs still maintained?

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