rubrkit for LangChain
com.rubrkit/rubrkit
MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
client:LangChain
transport:streamable-http
tools:39
Install rubrkit in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"rubrkit": {
"transport": "streamable_http",
"url": "https://www.rubrkit.com/api/v1/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
- rubrkit_search_api_docs
- rubrkit_read_api_doc
- rubrkit_read_openapi_contract
- rubrkit_create_artifact_bundle
- rubrkit_list_artifact_bundles
- rubrkit_read_artifact_bundle
- rubrkit_delete_artifact_bundle
- rubrkit_hard_delete_artifact_bundle
- rubrkit_upload_artifact_files
- rubrkit_list_artifact_files
- rubrkit_read_artifact_file
- rubrkit_update_artifact_file
- rubrkit_compress_artifact_file
- rubrkit_start_audit
- rubrkit_list_audits
- rubrkit_read_audit
- rubrkit_apply_audit_rewrite
- rubrkit_poll_job
- rubrkit_list_job_events
- rubrkit_list_artifact_bundle_versions
- rubrkit_restore_artifact_bundle_version
- rubrkit_list_file_versions
- rubrkit_restore_file_version
- rubrkit_run_evals