TopMediAi-MCP
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- AlicenseNot gradedqualityAmaintenanceEnables local image generation control and storyboard planning within Codex, supporting continuous image editing, formal image writing, video prompt management, and user-configured video connectors.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables Codex image generation and inspection workflows to run as durable local jobs while keeping provider media bytes outside the public MCP boundary and returning only bounded text handoffs, hashes, relative references, and Job IDs. It supports idempotent submission, restart recovery, an offline mock provider, and optional OpenAI-backed generation or inspection with artifacts written to configured workspace paths.MIT
- FlicenseNot gradedqualityAmaintenanceEnables Codex to run image generation and inspection as durable, restart-reconcilable local jobs that keep provider-returned media behind the tool boundary and hand back only bounded text, hashes, relative references, and Job IDs. It also supports idempotent submission, job history, and an offline deterministic mock provider for validating transport and persistence behavior without spending API credits.-
- FlicenseNot gradedqualityAmaintenanceEnables Codex workflows to run image generation and inspection as durable local jobs, keeping media bytes outside the public MCP boundary and returning bounded text handoffs, hashes, references, and Job IDs.-
- FlicenseNot gradedqualityAmaintenanceEnables Codex to run context-bounded image generation and inspection as durable local jobs, returning only bounded text handoffs, hashes, relative references, and Job IDs while keeping media bytes outside the task context.-
- FlicenseNot gradedqualityAmaintenanceEnables Codex to run image generation and inspection as persisted local jobs, returning bounded text results, hashes, relative references, and Job IDs while keeping provider-returned media bytes out of public MCP results. It also supports idempotent submission, restart reconciliation, and optional OpenAI-backed generation or inspection.-
TDQS
Scored across 35 tools
Most tools are cleanly separated by resource and action (image/music/video/TTS/STS each have their own list/estimate/generate/get/preview family), and login, upload, and entitlement tools are distinct. There is minor overlap risk between get_image_task and get_generation_task, and among the several get_*_entitlements/get_balance tools, but the very detailed descriptions disambiguate them.
Nearly every tool follows a predictable verb_noun pattern with resource-qualified names (list_image_models, estimate_video_cost, generate_music, preview_audio_task, get_voice_detail). The convention is applied uniformly across login, upload, estimation, generation, and preview categories.
35 tools is heavy and above the comfortable range, though the breadth of features (five media types each with list/estimate/generate/get/preview, plus login and multiple upload flows) partly justifies it. Each tool nominally earns its place, but the surface is large enough to feel overwhelming.
Coverage is strong: login lifecycle, entitlements/balance, model catalogs, cost estimation, generation, task polling, previews, and uploads are all present for every supported medium. Minor gaps exist (no explicit logout/credential removal or generation-cancellation tool), which agents can work around.