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MCP server · RAG

Local Semantics

by · github.com/ketankshukla/mcp-local-semantics

An MCP server exposing local embedding tools - semantic search, comparison, clustering and zero-shot classification - so an agent can call them in a loop without an API round trip. Caching the embeddings took a search from 1040ms to 1.2ms. PyTorch, sentence-transformers, MCP Python SDK v2.

Unclaimed ai-agentsclusteringembeddingsmcpmcp-servermodel-context-protocolpythonpytorchsemantic-searchsentence-transformerszero-shot-classification
InstallView source
34Low

Scored 21 days ago · breakdown

About Local Semantics

Local Semantics is an MCP server published by ketankshukla in the RAG category: an MCP server exposing local embedding tools - semantic search, comparison, clustering and zero-shot classification - so an agent can call them in a loop without an API round trip. Caching the embeddings took a search from 1040ms to 1.2ms. PyTorch, sentence-transformers, MCP Python SDK v2.

Install

From source
git clone https://github.com/ketankshukla/mcp-local-semantics

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 Local Semantics

How do I install Local Semantics?

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

Is Local Semantics 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 Local Semantics still maintained?

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