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  3. Semantic Search Project
MCP server · RAG

Semantic Search Project

· github.com/Phaja/semantic-search-project

Deliver fast, scalable semantic search using vector embeddings and cluster-aware caching for efficient, context-based text retrieval.

Unclaimed aiai-agentscli-toolcoding-agentconfluence-integrationdocument-processingembeddingsenterprise-readygit-integrationllm-integrationmcp-servernextjsopencodepythonredissemanticsearchsqlitetypescript
InstallView source
34Low

Scored 12 hours ago · breakdown

About Semantic Search Project

Semantic Search Project is an MCP server in the RAG category: deliver fast, scalable semantic search using vector embeddings and cluster-aware caching for efficient, context-based text retrieval. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Phaja/semantic-search-project

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

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Questions

About Semantic Search Project

How do I install Semantic Search Project?

Run git clone https://github.com/Phaja/semantic-search-project, 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 Semantic Search Project 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 Semantic Search Project still maintained?

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