A
licenseA
qualityF
maintenanceAn MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.
2
30
MIT
syntx-ai-mcp
by ssm82
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TDQS
B3.4/5.0
Scored across 58 tools
Disambiguation3/5
Most tools target distinct resources, but chat/message operations overlap heavily: ask, stream-message, send-message plus wait-for-response, and get-messages vs get-favorite-messages require careful reading. The detailed descriptions help, but the breadth of the surface makes misselection plausible.
Naming Consistency4/5
Names are consistently kebab-case and mostly follow a verb_noun pattern with predictable resource suffixes. Minor deviations like whoami, ask, transcribe, chat-exists, and get-inprogress keep it from being perfectly uniform.
Tool Count1/5
58 tools is far beyond a practical agent-facing surface, with many niche endpoints for trends, tariffs, token pricing, prompt enhancer, identities, and events. The broad platform scope explains some size, but the selection burden remains extreme.
Completeness4/5
The surface covers chats, messages, files, projects, agents, models, media generation, billing/limits, and auth extensively. Minor gaps remain, such as quoting LLM reset price without a corresponding reset/purchase action and limited direct chat metadata retrieval.
Maintenance
ActivityMaintained
ResponsivenessNo issues