1. Conduid
  2. RAG
  3. NexaFlow
MCP server · RAG

NexaFlow

“企业级AI原生协作平台核心架构:支持多租户隔离的向量知识库(RAG)、具备上下文感知的LLM Agent编排,以及基于MCP(模型上下文协议)的工作区级工具集成;后端采用FastAPI异步框架,前端基于Next.js 14构建高交互体验。

34Low

Scored a month ago · breakdown

About NexaFlow

NexaFlow is an MCP server in the RAG category: “企业级AI原生协作平台核心架构:支持多租户隔离的向量知识库(RAG)、具备上下文感知的LLM Agent编排,以及基于MCP(模型上下文协议)的工作区级工具集成;后端采用FastAPI异步框架,前端基于Next.js 14构建高交互体验。.

Install

From source
git clone https://github.com/IQZZ020501/NexaFlow

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 NexaFlow

How do I install NexaFlow?

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

Is NexaFlow 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 NexaFlow still maintained?

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