io.github.airweave-ai/search — MCP server for searching Airweave collections
The MCP server enables natural language querying over Airweave collections, providing a retrieval-augmented search layer for AI agents and RAG systems. It serves as an open-source context retrieval component designed to integrate with agent infrastructure and data connectors, supporting semantic search and API access.
🛠️ Key Features
- Natural language query handling for Airweave collections
- Retrieval-augmented generation (RAG) oriented context retrieval
- Open-source context retrieval layer for AI agents
- Semantic search and data-connectors integration
- API-ready server and developer tooling
🚀 Use Cases
- AI agents performing memory-augmented tasks with Airweave data
- RAG pipelines requiring structured context from enterprise data
- Semantic search across Airweave collections via natural language
⚡ Developer Benefits
- Clear integration path for retrieval components in agent infrastructure
- Open-source, extensible module for context retrieval
- Supports data connectors and enterprise data scenarios
- Lightweight, API-accessible MCP server
⚠️ Limitations
- Details on model compatibility and runtime constraints are not provided in the excerpt.
