Monte Carlo MCP Server
A first-party, fully hosted Model Context Protocol server that exposes Monte Carlo's data + AI observability platform to agents — alerts, monitors, assets, lineage, query and job performance, and AI agent traces. Runs on AWS Lambda behind an integration gateway that authenticates every request and forwards it to Monte Carlo's GraphQL API, executing under the calling user's identity so existing RBAC applies. Stateless: no customer data is persisted or cached by the server.
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Descriptor
Candidate descriptor · transport streamable-http
Tools
create_llm_span—create_or_update_agent_evaluation_monitor—create_or_update_agent_metric_monitor—create_or_update_agent_trajectory_monitor—create_or_update_agent_validation_monitor—create_or_update_alert_comment—create_or_update_comparison_monitor—create_or_update_data_product—create_or_update_metric_monitor—create_or_update_sql_monitor—create_or_update_table_monitor—create_or_update_table_monitor_asset_rule—create_or_update_validation_monitor—get_agent_conversation—get_agent_conversations—get_agent_metadata—get_agent_segments—get_agent_trace—get_agent_traces—get_alert_agent_classification—get_alerts—get_asset_lineage—get_audiences—get_change_timeline—get_domains—get_etl_issues—get_etl_jobs—get_field_lineage—get_field_metric_definitions—get_github_prs—get_jobs_performance—get_mc_webapp_url—get_monitor_report—get_monitors—get_queries_for_table—get_query_changes—get_query_latency_distribution—get_query_rca—get_reinforcement_loop_report—get_reinforcement_loop_summaries—get_table—get_table_freshness—get_table_size_history—get_tables_for_job—get_tasks_performance—get_top_slow_queries—get_troubleshooting_agent_results—get_unmonitored_tables_with_anomalies—get_use_case_table_summary—get_use_case_tables—get_use_cases—get_validation_predicates—get_warehouses—run_troubleshooting_agent—search—update_alert—
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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