Cf Ai Translate

Free, direct translation across 100+ languages using Meta M2M-100 on Cloudflare Workers AI.

Install
cmdop skills install agensi-cf-ai-translate

Cf Ai Translate is a skill that performs text translation across more than 100 languages using the Meta M2M-100 1.2B parameter model hosted on Cloudflare Workers AI. The key architectural difference from standard translation pipelines is that it performs direct translation between any two language pairs rather than routing through English as an intermediary. This approach preserves more linguistic nuance for non-English pairs, such as translating French directly to Japanese without an English hop that can introduce errors or awkward phrasing.

The skill runs on Cloudflare’s edge infrastructure, which means translation requests are handled at globally distributed nodes. It is available on Cloudflare’s free tier, so there are no per-character fees or subscription costs tied to translation volume. This makes it viable as a production translation layer for applications that need to keep API costs predictable.

In addition to returning translated text, the skill includes built-in support for saving translated output directly to the local filesystem, which is useful for batch translation workflows where output needs to be persisted for downstream processing.

This is a skill rather than an MCP server, so it integrates into agent workflows rather than exposing a standalone server process. There is no published tool list for this capability, meaning the exact callable interface must be confirmed from the publisher’s documentation. It requires access to Cloudflare Workers AI and is scoped to translation tasks only, not general-purpose language generation.

Use cases

  • Translate user-generated content between non-English language pairs without routing through English
  • Add a cost-free translation layer to a Cloudflare-hosted application using the free tier
  • Batch translate text files and save the output directly to the local filesystem
  • Localize application strings across 100+ languages in an automated agent pipeline
  • Replace expensive per-character translation API calls with a self-contained edge-based skill

When to use it

  • When translation accuracy for non-English language pairs matters and an English-pivot model introduces errors
  • When running on Cloudflare Workers AI infrastructure and want translation without additional API costs
  • When the agent workflow needs to persist translated output as files on the local filesystem
  • When a lightweight, specialized translation model is preferred over a general-purpose LLM for cost or latency reasons

When not to use it

  • When the deployment environment is not Cloudflare Workers AI, as the skill depends on that specific runtime
  • When translation of languages outside the M2M-100 supported set is required
  • When a standalone MCP server with an explicit tool interface is needed rather than a skill integration
  • When real-time streaming or audio/speech translation is required — this skill handles text only
  • When enterprise SLA guarantees or dedicated support contracts are required, as no license terms are published