Asonix for LangChain
io.asonix/asonix
ASO for your AI: keywords, rankings, competitors and ads across 2.5M+ App Store apps.
client:LangChain
transport:streamable-http
tools:33
Install Asonix in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"asonix": {
"transport": "streamable_http",
"url": "https://api.asonix.io/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- get_ai_visibility_overview
- get_ai_visibility_reasons
- get_ai_visibility_evidence
- add_app
- create_unreleased_app
- search_apps
- add_keywords
- star_keyword
- unstar_keyword
- list_apps
- list_tracked_keywords
- get_app_meta_ads
- refresh_app_rankings
- get_ranking_refresh_status
- get_workspace_keyword_opportunities
- check_tracked_keywords
- get_app_overview
- get_app_visibility_history
- get_app_rank_history
- get_app_rating_history
- get_app_charts
- get_keyword_suggestions_for_app
- research_app_keywords
- extract_competitor_keywords