MCP-RAGNAR
by bixentemal
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| INDEX_ROOT | Yes | The root directory for the index, used by the retriever. This is mandatory for MCP (Multi-Cloud Platform) querying. | |
| EMBED_MODEL | No | Name of the embedding model to use. Default value of BAAI/bge-large-en-v1.5. | BAAI/bge-large-en-v1.5 |
| EMBED_ENDPOINT | No | Path to an OpenAI compatible embedding endpoint (ends with /v1). If not set, a local Hugging Face model is used by default. | |
| OPENAI_API_KEY | No | OpenAI API key, required if using an OpenAI-compatible embedding endpoint. | |
| MCP_DESCRIPTION | Yes | The exposed name and description for the MCP server, used for MCP querying only. This is mandatory for MCP querying. For example: "RAG to my local personal documents" |
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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