Browse
→ AI & Models
→ ApeRAG MCP Server
ApeRAG MCP Server
Production-ready GraphRAG platform from ApeCloud with built-in MCP server support. Combines five index types — vector, full-text, graph, summary, and vision — for hybrid retrieval across documents and knowledge bases. Features deeply modified LightRAG with entity normalization for cleaner knowledge graphs, multi-modal document parsing powered by MinerU, and built-in AI agents with MCP tool support. Deploys on Kubernetes with Helm charts and KubeBlocks integration for PostgreSQL, Redis, Qdrant, Elasticsearch, and Neo4j. Open source with 1.3K GitHub stars.
MCP unverified
Integration
| Transport | stdio |
| Auth | none |
| Endpoint | ApeRAG MCP |
Use Cases
| 01 | Build production knowledge bases with hybrid retrieval combining GraphRAG, vector search, full-text search, and vision-based search through the ApeRAG MCP server |
| 02 | Give AI agents access to enterprise document collections with semantic search, graph-based knowledge reasoning, and natural-language querying via ApeRAG's built-in MCP integration |
| 03 | Deploy a self-hosted RAG platform on Kubernetes with multi-modal document parsing and MCP-compatible AI agent tooling for privacy-sensitive enterprise knowledge management |
Tags
rag graphrag knowledge-base vector-search open-source kubernetes document-parsing hybrid-search
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>