A
licenseNot graded
qualityB
maintenanceMCP server providing tools for entity extraction, query refinement, and relevance checking to build Agentic RAG applications.
MIT
rageval-mcp
Related Servers
Alternatives to rageval-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceAn MCP server that lets any AI agent evaluate RAG outputs -- faithfulness scoring, hallucination detection, and retrieval quality metrics -- with zero API keys, using MCP sampling.6MIT
- AlicenseBqualityAmaintenanceA production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.215MIT
multivon-mcpofficial
AlicenseAqualityBmaintenanceMCP server that gives AI coding agents direct access to evaluation tools.22Apache 2.0- AlicenseBqualityCmaintenanceAn MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.122 npm91MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that evaluates whether retrieval methods and AI outputs are grounded in long narrative manuscripts by retrieving evidence and scoring coverage deterministically, without external model APIs. It provides tools for chunking, indexing, retrieval, and evaluation.1MIT
TDQS
A4.1/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clear and distinct purpose: retrieve is for fetching passages, evaluate_retrieval scores a single method, and compare_methods benchmarks all methods side by side. No overlap in functionality.
Naming Consistency4/5
All tool names use snake_case. 'compare_methods' and 'evaluate_retrieval' follow a verb_noun pattern, but 'retrieve' is a single verb. The slight inconsistency is minor and does not hinder readability.
Tool Count3/5
Three tools is borderline small for a retrieval evaluation server. It covers basic operations (retrieve, evaluate, compare) but feels thin; additional tools for managing data or methods would improve scope. The count is acceptable for a focused demo.
Completeness3/5
The tools cover core retrieval and evaluation workflows but lack functionality for managing the question set or corpus. Users cannot add custom data, which limits the server's utility beyond the bundled sample.
Maintenance
ActivityStale
ResponsivenessNo issues