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MCP server · RAG

Genpark Vector Embeddings Similarity Search Engine Skill

· github.com/alphaparkinc/genpark-vector-embeddings-similarity-search-engine-skill

Vector embeddings cosine similarity search engine

Unclaimed agent-skillsai-agentsautomationclaudecursorllm-toolsmcpmcp-servermodel-context-protocolpythonskillszero-dependency
InstallView source
34Low

Scored 5 days ago · breakdown

About Genpark Vector Embeddings Similarity Search Engine Skill

Genpark Vector Embeddings Similarity Search Engine Skill is an MCP server in the RAG category: vector embeddings cosine similarity search engine. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/alphaparkinc/genpark-vector-embeddings-similarity-search-engine-skill

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 Genpark Vector Embeddings Similarity Search Engine Skill

How do I install Genpark Vector Embeddings Similarity Search Engine Skill?

Run git clone https://github.com/alphaparkinc/genpark-vector-embeddings-similarity-search-engine-skill, 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 Genpark Vector Embeddings Similarity Search Engine Skill 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 Genpark Vector Embeddings Similarity Search Engine Skill still maintained?

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