Creatomate MCP Server
Related Servers
Alternatives to Creatomate MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseCqualityAmaintenanceEnables AI agents and clients to discover and use 75 V5 design-automation tools for templates, images, animations, media jobs, workflows, assets, publications, webhooks, and Instant URLs, with explicit mutation approval, local previews, and isolated private workspace profiles.7521 npmAGPL 3.0
- AlicenseBqualityAmaintenanceEnables AI clients to discover current fal.ai model schemas and pricing, submit only approved generation batches, manage assets, collections, tags, characters, and CDN access settings, and use isolated private account profiles through shared validated tools.6645 npmAGPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to build models, import assets, animate scenes, render images, and save versioned projects through validated MCP tools backed by headless Blender, with a live browser viewer for inspection.GPL 3.0
- AlicenseBqualityCmaintenanceEnables any MCP-compatible AI agent to generate videos and images from text or reference frames, chain scenes into seamless multi-scene films with sound and speech, and download finished media with manifests and previews. It also exposes account status, plan limits, history and library management through confirm-gated, safe-by-default operations.34MIT

Cohort MCP Serverofficial
AlicenseNot gradedqualityAmaintenanceLets an external AI agent work inside shared project rooms as a genuine client, handling seven tools that list and fetch projects, read full room state (project, document, recent chat, presence), post chat messages, edit the shared document, create projects, and upvote. Every action happens under a visible agent handle over the same REST and WebSocket endpoints humans use, returning schema-declared structured content and machine-readable error codes so agents can plan multi-step work.6 npmMIT
@nymrel/mcp-hubofficial
AlicenseBqualityBmaintenanceProvides a unified interface for autonomous AI agents to access 14 developer toolchains covering commerce audits, security guards, swarm coordination, machine trust, proof ledgers, crawling, telemetry, pricing, local model routing, micropayments, sandbox isolation, A2UI rendering, and message bus dispatch.14MIT
TDQS
Scored across 17 tools
The three feed tools (list_feeds, get_feed, get_feed_sample) have nearly identical descriptions and appear to perform the same read operation, making selection arbitrary. Render submission tools (create_render, submit_render_batch, create_legacy_render) and validation tools (validate_render, preview_render_batch) also have overlapping boundaries that require careful reading to distinguish.
All tools use snake_case with a consistent verb_noun pattern (list_templates, get_template, create_render, submit_render_batch). Prefixes like legacy and batch are used predictably, and there are no mixed naming conventions.
At 17 tools, the set sits just above the ideal 3-15 range and feels borderline heavy. The three nearly identical feed reading tools and multiple render submission variants add redundancy without clear distinct value.
Core template CRUD and render lifecycle operations (create, validate, get, batch, legacy) are well covered. Minor gaps exist: feed tools are read-only with no editor, render download/delete/cancel is absent, and get_operation_schema covers only eleven documented operations.