Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards
{
"mcpServers": {
"secure-rag-multi-agent": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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A comprehensive multi-agent AI orchestration platform featuring secure Retrieval-Augmented Generation (RAG), advanced research capabilities, voice interactions, MCP integration, and sophisticated memory management using Mastra AI framework.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 102 days ago. 16 stars.
Will it work with my client?
Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
No known vulnerabilities.
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Dynamic problem-solving through sequential thought chains
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The official Python SDK for Model Context Protocol servers and clients
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A comprehensive multi-agent AI orchestration platform featuring secure Retrieval-Augmented Generation (RAG), advanced research capabilities, voice interactions, MCP integration, and sophisticated memory management using Mastra AI framework.
A comprehensive multi-agent AI orchestration platform that combines secure Retrieval-Augmented Generation (RAG) with advanced research capabilities, web scraping, content analysis, voice interactions, MCP integration, and sophisticated memory management. Built with enterprise-grade security featuring hierarchical RBAC, document classification, and multi-agent security pipelines to ensure users only access authorized corporate knowledge while enabling powerful AI-driven research and analysis workflows.
flowchart TD
%% Frontend Layer
subgraph "🎨 Frontend Layer"
A[Next.js App Router<br/>React 19 + TypeScript]
B[Cedar OS Integration<br/>Product Roadmap UI]
C[React Components<br/>Chat, Auth, Indexing]
D[Shared Libraries<br/>JWT, MDX, Hooks]
end
%% Backend Layer
subgraph "⚙️ Backend Layer"
E[Mastra Core<br/>Orchestration Engine]
F[AI Agents<br/>27+ Specialized Agents<br/>5 Domains]
G[Workflows<br/>10+ Multi-step Orchestration<br/>Complex Tasks]
H[Tools & Services<br/>50+ Tools<br/>Business Logic]
I[API Routes<br/>Chat & Indexing<br/>Streaming]
end
%% Data Layer
subgraph "💾 Data Layer"
J[(PostgreSQL + PgVector<br/>Vector Embeddings<br/>Document Storage)]
K[(Content Corpus<br/>Markdown Files<br/>RAG Source)]
end
%% External Services
subgraph "🔗 External Services"
L[Google Gemini<br/>AI Mod
... [View full README on GitHub](https://github.com/ssdeanx/secure-rag-multi-agent#readme)