Wiro MCP Server
OfficialRelated Servers
Alternatives to Wiro MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceGenerate AI images, video, voiceovers and music from Claude, Cursor or VS Code through 50+ models (Veo 3.1, Kling 3, Seedance, Nano Banana, GPT Image, ElevenLabs). Upload photos for edits and image-to-video. Tools are annotated (read-only vs. credit-spending); failed generations are refunded. Local via npx or hosted with OAuth at fattly.app.6101 npmMIT
- AlicenseNot gradedqualityDmaintenanceOfficial MCP server for PostIdentity - Generate AI-powered social media posts, threads, and replies from any MCP-compatible AI assistant with identity management and refinement capabilities.3 npm1MIT
- AlicenseAqualityDmaintenanceMCP server for AI-powered media generation: images, videos, audio, and upscaling using 99 AI models.6MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.230MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server for AI-powered image processing (generate, edit, vary, analyze) supporting OpenAI, Gemini, Ideogram, and custom relay endpoints.-
- AlicenseAqualityBmaintenanceOfficial MCP server for the Mirai affordable chat completions API. Guest quota works without a key.3MIT
TDQS
Scored across 13 tools
Most tools target distinct resources and actions, but search_models and explore both describe browsing/choosing models, and recommend_model also overlaps in model discovery. The detailed descriptions and explicit nextAction guidance help reduce misselection, so the ambiguity is minor.
The vast majority of tools follow a clear verb_noun snake_case pattern: search_models, get_model_schema, run_model, cancel_task, upload_file. The single bare-verb tool 'explore' breaks the pattern slightly, but the overall naming scheme is predictable and readable.
Thirteen tools is well within the ideal range for a model-execution platform and each tool addresses a distinct phase: discovery, schema inspection, execution, task monitoring, cancellation, pricing, file upload, and documentation. No tool feels unnecessary, and the count is not bloated.
The tool surface covers the full model workflow: find/recommend/explore models, inspect schemas, run models, wait for tasks, retrieve task status, list historical tasks, check pricing, cancel or kill tasks, upload files, and search docs. There are no obvious dead ends or missing lifecycle operations for the domain.