A
licenseA
qualityB
maintenanceSentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
4
9 npm
47 PyPI
MIT
Turkish-Sentiment-Anlaysis
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., "@Turkish-Sentiment-AnlaysisAnalyze the sentiment of this Turkish review: 'Ürün kalitesi harika, hızlı teslimat!'"
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.
MCP Turkish Sentiment Analysis
Turkish sentiment analysis MCP server exposed through a Hugging Face Space. This project lets MCP-compatible clients call a remote sentiment analysis tool over SSE.
Demo
Hugging Face Space: https://huggingface.co/spaces/emredeveloper/mcp-turkish-sentiment
Related MCP server: KeyNeg MCP Server
Usage with MCP Remote
Add the following configuration to your MCP client:
{
"gradio": {
"command": "npx",
"args": [
"mcp-remote",
"https://emredeveloper-mcp-turkish-sentiment.hf.space/gradio_api/mcp/sse"
]
}
}What It Does
Accepts Turkish text input
Runs sentiment analysis through the hosted Space
Returns sentiment classification through an MCP-compatible interface
Notes
Requires an MCP client that supports remote SSE servers.
The hosted Hugging Face Space must be active for the remote endpoint to respond.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
Hugging Face Hub MCP — models, datasets, spaces
Papers With Code MCP — browse ML research papers and their code repositories
ConceptNet MCP — open multilingual word/phrase relation graph
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