MCP-Server

atlaxy

io.github.xiaoba-dev/atlaxy
KI & Agenten Suche & Recherche Öffentlich und erreichbar MCP 2026-07-28

Was dieses MCP kann

Searches, compares, and provides scored records, evidence, and relationships for AI products, models, agents, and organizations.

compare_entities
Compare 2–5 entities across the four scoring dimensions.
Eingabeschema
{'type': 'object', 'required': ['slugs'], 'properties': {'slugs': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 5, 'minItems': 2}}}
get_entity
Get the full record for one entity by slug: scores (4 explainable dimensions), evidence, sources, tags, links.
Eingabeschema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string'}}}
get_entity_relations
Get an entity's relations (alternatives, built-on, integrations…) with confidence and target names.
Eingabeschema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1}, 'min_confidence': {'type': 'number', 'default': 0.7, 'maximum': 1, 'minimum': 0}}}
get_snapshot_meta
Get the current published snapshot metadata: version, counts, freshness, validation.
Eingabeschema
{'type': 'object', 'properties': {}}
get_taxonomy
Get the full continent + region taxonomy.
Eingabeschema
{'type': 'object', 'properties': {}}
list_entities
List entities, optionally filtered by continent / type, ranked by score_mode.
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1}, 'continent': {'type': 'string'}, 'score_mode': {'enum': ['overall', 'trending', 'popular', 'influential'], 'type': 'string'}, 'entity_type': {'enum': ['product', 'open_source', 'model', 'organization'], 'type': 'string'}}}
list_tracks
List the 12 AI continents (tracks) with node counts and top nodes.
Eingabeschema
{'type': 'object', 'properties': {}}
search_entities
Search AI products, models, agents and organizations by keyword. Returns ranked matches with scores and why they matched.
Eingabeschema
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query'}, 'tag': {'type': 'string'}, 'type': {'enum': ['product', 'open_source', 'model', 'organization'], 'type': 'string'}, 'limit': {'type': 'integer', 'default': 10, 'maximum': 100, 'minimum': 1}, 'continent': {'type': 'string', 'description': "L1 continent name, e.g. 'AI Coding'"}, 'score_mode': {'enum': ['overall', 'trending', 'popular', 'influential'], 'type': 'string'}}}
Hinzugefügt
get_snapshot_meta
17. September 2026 12:53
Hinzugefügt
get_taxonomy
17. September 2026 12:53
Hinzugefügt
list_tracks
17. September 2026 12:53
Hinzugefügt
compare_entities
17. September 2026 12:53
Hinzugefügt
get_entity_relations
17. September 2026 12:53
Hinzugefügt
list_entities
17. September 2026 12:53
Hinzugefügt
get_entity
17. September 2026 12:53
Hinzugefügt
search_entities
17. September 2026 12:53