atlaxy
Search 500+ AI products, models, agents and orgs with explainable scores. Read-only MCP for Atlaxy.
Should I use this
Quality & Safety
Findings (1)
- LOWin compare_entities
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"atlaxy": {
"url": "https://api.atlaxy.ai/mcp"
}
}
}Remote endpoints
https://api.atlaxy.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
π’search_entities(q, type, continent, tag, score_mode, ...)
Search AI products, models, agents and organizations by keyword. Returns ranked matches with scores and why they matched.
Input Schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Search query"
},
"type": {
"type": "string",
"enum": [
"product",
"open_source",
"model",
"organization"
]
},
"continent": {
"type": "string",
"description": "L1 continent name, e.g. 'AI Coding'"
},
"tag": {
"type": "string"
},
"score_mode": {
"type": "string",
"enum": [
"overall",
"trending",
"popular",
"influential"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 10
}
},
"required": [
"q"
]
}π’get_entity(slug)
Get the full record for one entity by slug: scores (4 explainable dimensions), evidence, sources, tags, links.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string"
}
},
"required": [
"slug"
]
}π’list_entities(continent, entity_type, score_mode, limit)
List entities, optionally filtered by continent / type, ranked by score_mode.
Input Schema
{
"type": "object",
"properties": {
"continent": {
"type": "string"
},
"entity_type": {
"type": "string",
"enum": [
"product",
"open_source",
"model",
"organization"
]
},
"score_mode": {
"type": "string",
"enum": [
"overall",
"trending",
"popular",
"influential"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 20
}
}
}π’get_entity_relations(slug, min_confidence, limit)
Get an entity's relations (alternatives, built-on, integrationsβ¦) with confidence and target names.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"min_confidence": {
"type": "number",
"minimum": 0,
"maximum": 1,
"default": 0.7
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 20
}
},
"required": [
"slug"
]
}βͺcompare_entities(slugs)
Compare 2β5 entities across the four scoring dimensions.
Input Schema
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 5
}
},
"required": [
"slugs"
]
}π’list_tracks
List the 12 AI continents (tracks) with node counts and top nodes.
Input Schema
{
"type": "object",
"properties": {}
}π’get_taxonomy
Get the full continent + region taxonomy.
Input Schema
{
"type": "object",
"properties": {}
}π’get_snapshot_meta
Get the current published snapshot metadata: version, counts, freshness, validation.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence