mcp for LangChain
com.everlange/mcp
Everlange: audit AEO on 67 criteria across 10 answer engines, apply fixes, prove the gain.
client:LangChain
transport:streamable-http
tools:36
Install mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://everlange.com/api/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
- aeo_list_sites
- aeo_audit
- aeo_audit_status
- aeo_batch_audit
- aeo_report
- aeo_improvements
- aeo_generate
- aeo_apply
- aeo_citations
- aeo_proof
- aeo_monitor
- ads_list_accounts
- ads_performance
- ads_search_terms
- ads_change_history
- ads_quality_breakdown
- ads_landing_pages
- ads_geo_performance
- ads_asset_performance
- ads_campaign_criteria
- ads_geo_target_search
- ads_audiences
- ads_device_performance
- ads_set_bid_modifier