QuassLabs API for LangChain
com.quasslabs/api
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
client:LangChain
transport:streamable-http
tools:30
Install QuassLabs API in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"api": {
"transport": "streamable_http",
"url": "https://api.quasslabs.com/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
- alignment_gate
- blm_land_lookup
- diagram_contrast
- humanizer_score
- saas_metrics
- acceptance_criteria_validator
- coverage_check
- defect_triage
- model_advisor
- tool_advisor
- humanize
- dependency_check
- log_audit_creator
- log_analyzer
- ticket_lint
- story_lint
- estimate_sanity
- pr_description_lint
- commit_hygiene
- readability_grade
- regex_lint
- sprint_health
- worklog_guardrail
- uploads