A
licenseNot graded
qualityC
maintenanceEnables building production-grade RAG systems with agentic reasoning, hybrid retrieval, and MCP protocol integration for use with Claude Desktop.
1
MIT
R2R FastMCP Server
by evgenygurin
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TDQS
A3.9/5.0
Scored across 2 tools
Disambiguation2/5
The two tools have significant functional overlap and ambiguous boundaries. Both 'rag' and 'search' perform retrieval from the knowledge base with nearly identical search parameters and presets, differing mainly in that 'rag' includes LLM generation while 'search' returns raw results. This overlap could easily cause misselection, as agents might struggle to choose between them for retrieval-focused tasks.
Naming Consistency5/5
Tool names follow a perfectly consistent pattern with simple, descriptive verbs ('rag' and 'search') in lowercase. Both names clearly indicate their primary function without mixing conventions, making them predictable and easy to understand within the server's scope.
Tool Count2/5
With only 2 tools, the server feels severely under-scoped for a RAG/knowledge base system. While the tools are feature-rich individually, the set lacks basic operations like knowledge base management (e.g., add/remove documents), configuration updates, or status checks. This minimal count limits agent workflows and suggests an incomplete surface.
Completeness2/5
The tool surface has significant gaps for a RAG server. There are no tools for managing the knowledge base (ingesting, updating, or deleting documents), monitoring system status, or configuring core settings. While 'rag' and 'search' cover querying comprehensively, the absence of management operations creates dead ends for agents needing to interact with the underlying data.
Maintenance
ActivityInactive
ResponsivenessNo issues