IA-QA Eval & RAG — 38 tools for LangChain
io.github.jcjamet/ia-qa-eval
LLM & RAG evals: hallucination, eval contracts, semantic tests, tokens & model info. Free, no key.
client:LangChain
transport:streamable-http
tools:38
Install IA-QA Eval & RAG — 38 tools in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"ia-qa-eval": {
"transport": "streamable_http",
"url": "https://www.ia-qa.com/mcp/eval",
}
})
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_testing_guidelines
- find_tool
- hallucination_check
- run_eval_contract
- run_semantic_tests
- generate_ci_workflow
- needle_haystack_generate
- generate_eval_yaml
- metamorphic_check
- test_skill
- llm_output_validator
- compare_responses
- analyze_responses
- prompt_test_suite
- llm_format_check
- consistency_check
- llm_json_schema_check
- response_quality_score
- conversation_analyze
- cot_analyzer
- ab_test_report
- similarity_score
- run_vlm_test_suite
- embedding_similarity