A
licenseNot graded
qualityD
maintenanceEnables uploading, organizing, and semantically searching documents with support for various file types and embedding providers.
32 npm
MIT
ragie
Server Details
Ingest, manage, and retrieve documents for RAG-powered AI applications
Glama couldn't complete the latest health check. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over 36 days
- Last Tested
- Transport
- Streamable HTTP
- URL
Related MCP Connectors
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
Versioned documentation registry and semantic search for AI tools and coding assistants.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Universal persistent memory and knowledge retrieval layer for AI agents and LLMs.
Related MCP Servers
- AlicenseAqualityBmaintenanceEnables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.4AGPL 3.0
Agentsetofficial
AlicenseAqualityCmaintenanceAn open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡121 npm31MIT- FlicenseNot gradedqualityCmaintenanceEnables document Q&A and knowledge retrieval through hybrid semantic and keyword search, with tools for document ingestion, chunking, summarization, PII redaction, and RAGAS-based evaluation.-
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd
Glama MCP Gateway
Add one secure layer between your agents and this server.