Schema | YRB-HES Evidence MCP

YRB-HES Evidence MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`YRB3_MCP_DATABASE_URL`	No	Optional database URL. Defaults to a local Unix socket connection to dbname=rag_sag.

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
healthcheckB	Check PostgreSQL, yrb3_v3 tables, read-only identity and current row counts.
get_document_overviewB	Return metadata, abstract screening, heading, Subchunk, SAG and spatiotemporal counts for one document.
search_evidenceB	Search YRB3 evidence with exact if_yrbhg gate, lexical Subchunk recall, Event expansion and spatiotemporal attachment.
compare_evidenceA	Build bounded cross-paper comparison rows with claims, entities, spatiotemporal evidence and source locators.
get_subchunk_contextB	Return one Subchunk, its title path, adjacent context and linked Event/spatiotemporal evidence.
search_entityA	Search canonical SAG entities by name, alias key and optional entity type.
expand_entityC	Expand one canonical entity to linked Event, Subchunk, spatiotemporal evidence and verified edges.
get_spatiotemporal_evidenceB	Query structured spatial and temporal evidence with document, Subchunk and research-area filters.
trace_sourceB	Trace an Event, Subchunk or spatiotemporal evidence ID back to Markdown content and hashes.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TIGERwu0118/yrb_hes_mcp'

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