F
licenseNot graded
qualityC
maintenanceProvides web search and local document RAG using Ollama, enabling privacy-preserving AI assistance in Cursor IDE.
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LlamaCloud RAG MCP Server
by uiqkos
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TDQS
A3.9/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: get_index_info retrieves index metadata, query_rag answers with sources, and search_documents finds documents without generating an answer. No overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (get_index_info, query_rag, search_documents). The naming is predictable and intuitive.
Tool Count5/5
With 3 tools, the surface is well-scoped for a RAG server: one for index status, one for querying, and one for searching. Neither too few nor too many.
Completeness4/5
The tools cover the core RAG workflow (index info, query, search). A minor gap is absence of document management or index modification, but that may be out of scope for a read-only RAG server.
Maintenance
ActivityInactive
ResponsivenessNo issues