Schema | MCP-RAG Server

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description
`BUCKET_ID`	Yes	Your bucket ID for document storage
`OPENAI_API_KEY`	Yes	Your OpenAI API key
`GROUNDX_API_KEY`	Yes	Your GroundX API key

Capabilities

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Tools

Functions exposed to the LLM to take actions

Name Description

Name	Description
process_search_query	`Process a search query using GroundX and OpenAI. Args: query: The search query string config: Optional SearchConfig object for customization Returns: SearchResponse object containing the query, score, and result`
search_doc_for_rag_context	`Searches and retrieves relevant context from a knowledge base, based on the user's query. Args: query: The search query supplied by the user. Returns: str: Relevant text content that can be used by the LLM to answer the query.`
ingest_documents	`Ingest documents from a local file into the knowledge base. Args: local_file_path: The path to the local file containing the documents to ingest. Returns: str: A message indicating the documents have been ingested.`

process_search_query

Process a search query using GroundX and OpenAI.

Args:
    query: The search query string
    config: Optional SearchConfig object for customization

Returns:
    SearchResponse object containing the query, score, and result

search_doc_for_rag_context

Searches and retrieves relevant context from a knowledge base,
based on the user's query.
Args:
    query: The search query supplied by the user.
Returns:
    str: Relevant text content that can be used by the LLM to answer the query.

ingest_documents

Ingest documents from a local file into the knowledge base.
Args:
    local_file_path: The path to the local file containing the documents to ingest.
Returns:
    str: A message indicating the documents have been ingested.

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

MCP-RAG Server

Server Configuration

Capabilities

Tools

Prompts

Resources

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