Designesy for LangChain
io.github.le-vai/designesy-org
Score any URL against a real design contract — 42 checks, A-F grade, token + motion validation.
client:LangChain
transport:streamable-http
runtime:pypi
tools:17
Install Designesy in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"designesy-org": {
"transport": "streamable_http",
"url": "https://www.designesy.org/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
- designesy_catalog
- designesy_contract
- designesy_design_review
- designesy_skill_md
- designesy_agent_json
- designesy_llms_txt
- designesy_llms_full_txt
- designesy_score
- designesy_tokens_score
- designesy_a11y_score
- designesy_motion_score
- designesy_drift_score
- designesy_readiness_score
- designesy_guardrails
- designesy_monitor_score
- designesy_compare
- designesy_report