yargi-mcp-nvidia-semantic
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NVIDIA_API_KEY | No | NVIDIA API key (legacy, used for both embedding and LLM). | |
| EMBEDDING_PROVIDER | No | Embedding provider. Set to 'local' to use NVIDIA API via LOCAL_EMBEDDING_* variables. | local |
| LOCAL_EMBEDDING_MODEL | No | Embedding model name, e.g. nvidia/nv-embed-v1. | nvidia/nv-embed-v1 |
| BEDESTEN_RATE_CAPACITY | No | Initial capacity for the Bedesten rate limiter. | 1 |
| BEDESTEN_RATE_REFILL_S | No | Rate limiter refill interval in seconds. | 4.0 |
| EMBEDDING_PROMPT_STYLE | No | Prompt style for embeddings. | raw |
| LOCAL_EMBEDDING_API_KEY | No | NVIDIA API key for embeddings (starts with nvapi-). | |
| BEDESTEN_RATE_MAX_WAIT_S | No | Maximum wait time in seconds for Bedesten rate limiter. | 60 |
| LOCAL_EMBEDDING_BASE_URL | No | Base URL for the NVIDIA embedding API. | https://integrate.api.nvidia.com/v1 |
| LOCAL_EMBEDDING_DIMENSION | No | Dimension of the embedding vectors. | 4096 |
| LOCAL_EMBEDDING_INPUT_TYPE | No | Input type for asymmetric models: 'auto' or 'off'. | auto |
| BEDESTEN_SEMANTIC_BATCH_SIZE | No | Number of decisions to process in a semantic search batch. | 30 |
| BEDESTEN_SEMANTIC_MAX_RETRIES | No | Maximum retries for Bedesten rate-limited requests. | 3 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
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 | |
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