Patronus MCP Serverofficial
A
licenseNot graded
qualityD
maintenanceEnables running LLM evaluations, experiments, and custom evaluators through a standardized MCP interface.
16
Apache 2.0
OpenXAI MCP Server
by Cappybara12
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TDQS
A3.5/5.0
Scored across 11 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no ambiguity. The tools cover different aspects of the OpenXAI ecosystem: explanation generation/evaluation, framework information, data/model management, and leaderboard access. There is no overlap in functionality between tools like 'evaluate_explanation' and 'generate_explanation' or between listing functions and loading functions.
Naming Consistency5/5
All tools follow a consistent verb_noun naming pattern using snake_case throughout. The naming convention is predictable with verbs like 'evaluate', 'generate', 'get', 'list', and 'load' consistently paired with appropriate nouns. This makes the tool set easy to understand and navigate.
Tool Count5/5
With 11 tools, this server is well-scoped for its purpose of providing access to OpenXAI's explainable AI framework. The count is appropriate as it covers key operations like explanation generation/evaluation, framework information retrieval, dataset/model management, and leaderboard access without being overwhelming or insufficient.
Completeness4/5
The tool set provides comprehensive coverage for interacting with the OpenXAI framework, including explanation workflows, data/model access, and framework information. The only minor gap is the lack of tools for modifying or updating datasets/models (e.g., 'update_model' or 'create_dataset'), but the existing tools cover the core read-oriented operations well for this domain.
Maintenance
ActivityInactive
ResponsivenessNo issues