luma-mcp
Verified Safeby JochenYang
Overview
Provides multi-model vision understanding capabilities to AI assistants that lack native image understanding.
Installation
npx luma-mcpEnvironment Variables
- MODEL_PROVIDER
- MODEL_NAME
- MAX_TOKENS
- TEMPERATURE
- TOP_P
- ENABLE_THINKING
- BASE_VISION_PROMPT
- ZHIPU_API_KEY
- SILICONFLOW_API_KEY
- DASHSCOPE_API_KEY
- VOLCENGINE_API_KEY
Security Notes
The server uses environment variables for API keys, which is good practice. Logging is redirected to stderr and a local file, preventing stdout pollution. Image processing relies on `sharp`, a widely used library. Local file access is limited to specified image paths and log files. However, `validateImageSource` does not explicitly validate the size of remote image URLs or Data URIs before passing them to external AI models. This could potentially lead to higher costs or performance issues if very large images from untrusted sources are processed by the upstream LLMs.
Similar Servers
mcp-omnisearch
Provides a unified interface for various search, AI response, content processing, and enhancement tools via Model Context Protocol (MCP).
tmcp
A server implementation for the Model Context Protocol (MCP) to enable LLMs to access external context and tools.
1xn-vmcp
An open-source platform for composing, customizing, and extending multiple Model Context Protocol (MCP) servers into a single logical, virtual MCP server, enabling fine-grained context engineering for AI workflows and agents.
imgenx
AI image and video generation and processing, functioning as a command-line tool or MCP server.