MCP Sentiment Analysis Server
by AdilzhanB
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CACHE_SIZE | No | Size of result cache | 1000 |
| ENABLE_GPU | No | Enable GPU acceleration | true |
| NUM_WORKERS | No | Number of worker threads | 4 |
| API_KEY_REQUIRED | No | Require API key for requests | true |
| MCP_SENTIMENT_HOST | No | Server host | localhost |
| MCP_SENTIMENT_PORT | No | Server port | 8080 |
| MCP_SENTIMENT_DEBUG | No | Enable debug mode | false |
| SENTIMENT_BATCH_SIZE | No | Batch size for model inference | 32 |
| SENTIMENT_MAX_LENGTH | No | Maximum sequence length | 512 |
| SENTIMENT_MODEL_PATH | No | Path to the sentiment model | ./models/sentiment |
| RATE_LIMIT_PER_MINUTE | No | Maximum requests per minute | 100 |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/AdilzhanB/MCP_sentiment_analysis_server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server