Best 15 MCP Servers for RAG and Knowledge Management in 2026
Discover the top 15 MCP servers for building RAG systems, knowledge bases, and memory management for AI agents.
RAG has become essential for AI applications needing specific knowledge. MCP servers make it easier than ever to add RAG capabilities. Here are the top 15.
1. Memory Server (Official)
modelcontextprotocol/server-memory — Knowledge graph approach for persistent context.
2. RAG Docs MCP
hannesrudolph/mcp-ragdocs — Document indexing, embedding, and retrieval.
3. Context7
upstash/context7 — Up-to-date code documentation for LLMs.
4. Vectara MCP
vectara/vectara-mcp — Enterprise RAG-as-a-service.
5. Trieve
devflowinc/trieve — Full-featured search with hybrid retrieval.
6. Graphlit MCP
graphlit-mcp-server — Multi-source content ingestion.
7. Cognee
topoteretes/cognee — Graph databases + vector stores.
8. Obsidian MCP
louis030195/easy-obsidian-mcp — Connect your Obsidian vault to AI.
9. Local FAISS MCP
nonatofabio/local-faiss-mcp — Local vector database, fully private.
10. Mem0 MCP
mem0ai/mem0-mcp — Intelligent coding memory system.
11-15: Ragie, Gnosis, MCP Local RAG, Remembra, Omega Memory
Additional options covering managed RAG, zero-config search, privacy-first search, persistent memory, and cross-session learning.
Choosing the Right One
| Use Case | Recommended |
|---|---|
| Personal knowledge | Obsidian MCP |
| Enterprise RAG | Vectara, Ragie |
| Privacy-first | Local FAISS |
| Documentation | RAG Docs, Context7 |
Explore our full MCP Server Directory for more.