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  3. Genpark Vector Embeddings Similarity Search Engine Skill
MCP server · RAG

Genpark Vector Embeddings Similarity Search Engine Skill

by · 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
26Low

Scored 9 hours ago · breakdown

About Genpark Vector Embeddings Similarity Search Engine Skill

Genpark Vector Embeddings Similarity Search Engine Skill is an MCP server published by alphaparkinc in the RAG category: vector embeddings cosine similarity search engine.

The repository has 9 stars and 0 forks, with the last commit 3 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
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?

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

Is Genpark Vector Embeddings Similarity Search Engine Skill safe to use with an AI agent?

Its trust score is 26 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?

Yes — the last commit was 3 months ago. The repository has 9 stars and 0 forks.