konid-ai
Can be used as an MCP server with JetBrains IDEs to provide language coaching for natural expressions.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@konid-ai how do I say 'nice to meet you' in Japanese?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
konid
konid (کنید) — Farsi for "do." Take action.
A language expression coach. Tell it what you want to say, and it shows you how a native speaker would actually say it — with cultural context, tone notes, and audio pronunciation.
How it works
You: "how do I say 'we'll see' in Chinese?"
konid returns 3 options, casual to formal:
再说吧 (zài shuō ba) — casual, slightly evasive, can function as a soft "no"
看情况吧 (kàn qíngkuàng ba) — "depends on the situation," genuinely open-minded
到时候再看吧 (dào shíhou zài kàn ba) — "let's wait and see," most neutral
Plus cultural context, nuance comparison, and audio pronunciation.
Supports 13+ languages including Mandarin, Japanese, Korean, Spanish, French, German, Portuguese, Italian, Russian, Arabic, and Hindi. Any language Claude knows can be coached.
Related MCP server: Polyglot
Install
Claude Cowork
Requires a Pro or Max subscription.
Download
konid-ai-plugin.zipIn Cowork, click Customize in the left sidebar
Click + next to "Personal plugins" > Upload plugin
Choose the
konid-ai-plugin.zipfile
That's it. Start a new task and ask "how do I say 'nice to meet you' in Japanese?"
Claude Code
Requires Node.js 18+ and an Anthropic API key.
claude mcp add konid-ai -- npx -y konid-aiAudio plays directly through your speakers.
Other MCP clients
konid works with any MCP-compatible client. Add this to your client's MCP config:
{
"mcpServers": {
"konid": {
"command": "npx",
"args": ["-y", "konid-ai"]
}
}
}Tested with Cursor, VS Code Copilot, Windsurf, Zed, and JetBrains.
ChatGPT
Settings > Apps > Advanced settings > Developer mode > add https://konid.fly.dev/mcp
License
MIT
Available Tools
3 toolscoachA
Express an idea naturally in a target language. Returns 3 socially-calibrated options with romanization, literal meanings, tone notes, and cultural context. Each option is numbered for use with the speak tool.
Inputs: text (required), context, target_language.
replayA
Replay the last spoken audio clip. Use when the user says 'again', 'replay', 'repeat', or 'play it again'.
Inputs: no named parameters.
speakA
Speak text aloud using text-to-speech. Generates audio and plays it through speakers. Use after coach to hear how a phrase sounds.
Inputs: text (required), slow, voice, meaning.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: coach generates language options, speak produces audio from text, and replay repeats the last audio. There is no overlap in functionality, so an agent can select the correct tool without confusion.
All tool names are single lowercase verbs (coach, speak, replay) that directly describe their action. The naming convention is perfectly uniform and instantly understandable.
With only 3 tools, the server is tightly scoped to a simple workflow: generate a phrase, hear it, and repeat it. Each tool is necessary and the count is ideal for the intended purpose.
The tool surface covers the full language pronunciation loop: creating natural expressions, listening to them via TTS, and replaying on demand. There are no obvious gaps or dead ends for the intended use case.
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