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MCP server · RAG

Applied AI

by · github.com/josterga/applied-ai

Modular Python libraries for applied AI: chunking, LLM generation, retrieval, keyword extraction, MCP client, and Slack search.

Unclaimed agentic-aiapplied-aiembeddingsfaissinformation-retrievalkeyword-extractionllmmcpnlpopenai-apipythontext-chunkingvector-search
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34Low

Scored yesterday · breakdown

About Applied AI

Applied AI is an MCP server published by josterga in the RAG category: modular Python libraries for applied AI: chunking, LLM generation, retrieval, keyword extraction, MCP client, and Slack search. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/josterga/applied-ai

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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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
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Questions

About Applied AI

How do I install Applied AI?

Run git clone https://github.com/josterga/applied-ai, 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 Applied AI 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 Applied AI still maintained?

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