1. Conduid
  2. RAG
  3. Vetorial Search Service
MCP server · RAG

Vetorial Search Service

Backend API for data registration and semantic search, acting as an MCP (Model Context Protocol) context provider.

34Low

Scored 6 hours ago · breakdown

About Vetorial Search Service

Vetorial Search Service is an MCP server in the RAG category: backend API for data registration and semantic search, acting as an MCP (Model Context Protocol) context provider. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/thiagoaramizo/vetorial-search-service

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.

Ask AI

Ask AI about Vetorial Search Service

Powered by Claude · Grounded in docs

I know everything about Vetorial Search Service. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About Vetorial Search Service

How do I install Vetorial Search Service?

Run git clone https://github.com/thiagoaramizo/vetorial-search-service, 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 Vetorial Search Service 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 Vetorial Search Service still maintained?

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