EVO Academia for LangChain
io.github.mcp-dir/evo-mcp
Gym management (ABC Evo / W12): members, plans, sales, receivables, check-ins, classes and prospect
client:LangChain
transport:streamable-http
tools:26
Install EVO Academia in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"evo-mcp": {
"transport": "streamable_http",
"url": "https://api.mcp.ai/p_evo",
}
})
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
- evo_list_accounts
- evo_configuration
- evo_member_list
- evo_member_get
- evo_get_member_count
- evo_membership
- evo_entries
- evo_receivables
- evo_receivables_mark_received
- evo_sales
- evo_sales_create
- evo_prospect
- evo_prospect_write_create
- evo_prospect_write_update
- evo_activity_list
- evo_activity_schedule
- evo_activity_write_enroll
- evo_activity_write_change_status
- evo_employees
- evo_bank_accounts
- show_version
- report_bug
- connect
- toolkit_info