orion
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
ask_orion— Send a natural language question to Orion for AI-powered data analysis; requires message and user_id.create_conversation— Start a new Orion conversation with optional project_id and title.execute_metric— Trigger metric execution to refresh its current value using metric_id.run_workflow— Trigger workflow (insight maker) execution via workflow_id.delete_artifact— Remove a slide deck, dashboard, or report using artifact_id.list_projects— Retrieve Orion projects accessible to the user; supports search and limit.list_users— Display all organization users with ID, name, and role.list_conversations— Fetch chat conversations for a user, filterable by project_id.get_conversation_history— Retrieve messages from an existing conversation; poll for results after ask_orion.list_metrics— Retrieve KPIs for a project; can filter by pinned status.get_metric— Obtain full metric details including definition, code, sources, and latest result.get_metric_results— Access historical execution results for a metric.get_metric_insights— Get auto-detected metric insights showing significant changes and anomalies.list_workflows— List insight makers for a project.get_workflow— Retrieve workflow details including notebook data and metric references.get_workflow_results— Access execution results for a workflow.list_artifacts— List slide decks, dashboards, or reports; filterable by artifact type.get_artifact— Retrieve artifact content as markdown using artifact_id.search_wiki— Search Orion's knowledge base with optional project scope.list_recommendations— Get AI-generated recommendations for a project with suggested analysis prompts.
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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