A
licenseNot graded
qualityC
maintenanceProvides vision capabilities to text-only LLMs via MCP, enabling image understanding, Q&A, OCR, and image processing through cloud multimodal APIs.
MIT
VLLM MCP Server
by StanleyChanH
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TDQS
B3.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap. generate_multimodal_response handles actual generation, list_available_providers provides configuration information, and validate_multimodal_request performs validation checks. An agent can easily distinguish between these three functions.
Naming Consistency5/5
All three tools follow a consistent verb_noun naming pattern (generate_multimodal_response, list_available_providers, validate_multimodal_request). The naming is uniform, predictable, and clearly communicates each tool's function without any style mixing or deviations.
Tool Count3/5
With only 3 tools, this server feels somewhat thin for a multimodal generation service. While the tools cover core functionality, typical MCP servers in this domain would include additional operations like model management, conversation history, or specialized generation modes. The count is borderline but functional.
Completeness4/5
The tool set covers the essential workflow: checking available providers, validating requests, and generating responses. However, there are minor gaps such as no tool for managing conversation context, handling streaming responses, or providing model-specific configuration options that would enhance the agent's ability to work effectively with multimodal models.
Maintenance
ActivityInactive
ResponsivenessNo issues