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KRLabsOrg
by KRLabsOrg

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
VERBATIM_API_KEYYesYour API key (required)
VERBATIM_API_URLNoAPI base URLhttps://verbatim.krlabs.eu

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_collectionsA

List collections available to this API key.

Returns a list of collection metadata (id, name, description, record_count, visibility, status). Use the collection id with the other tools' collection_ids parameter to scope queries.

get_collectionC

Get metadata for a single collection by id.

search_papersA

Search papers by query (and optional year).

Args: query: Search string. year: Optional year filter. limit: Maximum results to return. collection_ids: Collections to search. Defaults to ['anthology']. Pass multiple for cross-collection searches (when other collections are available). include_chunks: When True, each result includes the retrieved chunks that contributed to its match in matched_chunks (list of {text, score}). Useful for feeding evidence directly into a local extractor or downstream summarizer. Free — no LLM, no quota cost.

get_paperC

Get paper metadata by id.

collection_ids defaults to ['anthology'].

get_citationC

Get BibTeX citation for a paper.

collection_ids defaults to ['anthology'].

get_paper_contentC

Get full paper content (markdown) by id.

collection_ids defaults to ['anthology'].

query_ragB

Run a RAG query against the paper corpus.

Args: question: The research question to answer. filter: Optional Milvus filter expression. Examples: - 'metadata["year"] == 2023' (papers from 2023) - 'metadata["year"] >= 2020 and metadata["year"] <= 2024' - 'json_contains(metadata["venue"], "acl")' (venue is stored as array) - 'json_contains(metadata["authors"], "John Smith")' (authors is stored as array) collection_ids: Collections to query. Defaults to ['anthology']. Pass multiple for cross-collection RAG (results will be retrieved from all named collections).

verbatim_transformA

Turn any question + context documents into a verbatim answer with exact citations.

Collection-agnostic — works with any text you provide.

Args: question: The question to answer. context: List of documents. Each dict should have: - content (required): the text to cite from - title (optional): document title - source (optional): URL or reference - metadata (optional): any additional metadata

list_authorsB

Search authors by name (fuzzy, typo-tolerant). Per-collection counts.

collection_ids defaults to ['anthology']. Facets are returned for the first collection only (counts are per-collection).

list_venuesC

Search venues/conferences (fuzzy). Per-collection counts.

collection_ids defaults to ['anthology'].

list_booktitlesC

Search booktitles (fuzzy). Per-collection counts.

collection_ids defaults to ['anthology'].

list_yearsB

List publication years available in the collection with paper counts.

collection_ids defaults to ['anthology'].

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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