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" |
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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