Schema | scholar-rag-mcp

scholar-rag-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

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_chunksA	Semantic search over chunk bodies of a kb with metadata filters, embedding and rerank scores.
search_documentsC	Document-level PubMed-style search with optional FTS query and metadata filters.
list_documentsC	Paginated browse of documents in a kb.
get_documentB	Overview of a document: metadata, abstract, section outline and total character count.
get_document_textB	Paginated reading of the full text or a single section of a document.
add_documentA	Asynchronously ingest a single PDF into an existing kb; returns a job_id.
remove_documentB	Synchronously delete a document from qdrant, catalog and disk.
create_kbA	Asynchronously create a kb from all PDFs in a folder; returns a job_id.
delete_kbB	Two-phase kb deletion: preview and confirm token, else full deletion.
list_kbsA	List all knowledge bases with metadata and status.
get_jobA	Query the status, progress and result of a background job.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/notwhiteblank/scholar-rag-mcp'

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