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world-reference-mcp

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Python
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world-reference-mcp

Version: 0.1.0

World-reference data — organism taxonomy, OBO reference terms, food/nutrition composition, organism and weather observations, and Wikidata alignment — as an MCP tool surface and, through agent-connector-sdk's declarative mcp_tool source adapter, as bounded, checkpointed ingestion streams onto the epistemic-graph world_model ontology (feat/world-model-ontology).

Sources

Ledger row

Sources

Target class

EH-358 (taxonomy)

NCBI Taxonomy (E-utilities), GBIF backbone

Taxon

EH-359 (reference terms)

EBI OLS4 (GO, UBERON, ENVO, PATO, ChEBI, FoodOn)

BiologicalProcessTerm, AnatomyTerm, EnvironmentTerm, QualityTerm, ChemicalEntityTerm, FoodTerm

EH-360 (nutrition)

USDA FoodData Central

FoodCompositionRecord

EH-361 (observations)

GBIF occurrences, iNaturalist, Open-Meteo, NOAA GHCND

OrganismObservation, WeatherObservation

EH-362 (alignment)

Wikidata SPARQL

wikidataId / skos:exactMatch keys for Taxon, ChemicalEntityTerm, Country

Related MCP server: BioMCP

Tools

Nine MCP tools, one FastMCP server (world-reference-mcp console script): taxonomy_ncbi_search, taxonomy_gbif_search, reference_term_list, fdc_food_search, gbif_occurrence_search, inaturalist_observation_search, open_meteo_weather_observation, noaa_ghcnd_daily, wikidata_alignment_search.

Every tool is keyless except fdc_food_search and noaa_ghcnd_daily, whose credentials are resolved server-side through agent_connector_sdk.credentials (WORLD_REFERENCE_FDC_API_KEY, WORLD_REFERENCE_NOAA_TOKEN) — never accepted as a tool argument.

See AGENTS.md for architecture, the ontology-mapping authority, rate limits, and commands.

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One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

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