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MCP server · RAG

Embedbase

by · github.com/jaymeklein/embedbase

Local-first document embedding and retrieval platform with a REST API and MCP server for LLM agents. Supports hybrid BM25 + semantic search across workspaces and collections, with pluggable parsers, embedders, and vector stores.

Unclaimed bm25celerydockerembeddingsfastapihybrid-searchllmlocal-firstmcpollamapgvectorpythonragsentence-transformerssqlitevector-search
InstallView source
34Low

Scored 14 days ago · breakdown

About Embedbase

Embedbase is an MCP server published by jaymeklein in the RAG category: local-first document embedding and retrieval platform with a REST API and MCP server for LLM agents. Supports hybrid BM25 + semantic search across workspaces and collections, with pluggable parsers, embedders, and vector stores.

The repository has 1 stars and 0 forks.

Install

From source
git clone https://github.com/jaymeklein/embedbase

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 Embedbase

How do I install Embedbase?

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

Is Embedbase 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 Embedbase still maintained?

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