Schema | mcp-rag

mcp-rag

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OPENAI_API_KEY`	No	API key for OpenAI (required if any backend is openai)
`VOYAGE_API_KEY`	No	API key for Voyage AI (required if embedding backend is voyage)
`ANTHROPIC_API_KEY`	No	API key for Anthropic (required if generator backend is anthropic)
`MCPRAG_EMBEDDING_BACKEND`	No	Embedding backend (local, voyage, openai, sentence-transformers)	local
`MCPRAG_GENERATOR_BACKEND`	No	Generator backend (local, anthropic, openai)	local

Features and capabilities supported by this server

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

Functions exposed to the LLM to take actions

Name	Description
search_documentsB	Search the knowledge base for passages relevant to a query. Args: query: natural-language search query. top_k: number of passages to return. method: retrieval strategy — "semantic", "lexical", or "hybrid".
answer_questionA	Answer a question grounded in the knowledge base, with citations. Args: question: the user's question. top_k: how many passages to ground the answer in.
list_sourcesA	List the documents available in the knowledge base.
get_statsA	Return index size and the active embedding/generation backends.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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