dryad-rag-mcp
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Exposes a RAG document-search API as MCP tools (rag_health, rag_ingest, rag_query), enabling agents to index and search markdown documents with cited results through natural language.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/viqok6skws for deploy options, or install from https://github.com/DryadAI/dryad-rag-mcp (see README for MCP config).
2
GitHub
Install from https://github.com/DryadAI/dryad-rag-mcp and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.