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Rius MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.

About

Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.

Remote endpoints: streamable-http: https://mcp.eu.console.rius-glassflow.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-glassflow-rius": {
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Rius MCP server

Rius MCP connector

Rius is an observability platform for AI agents, built by GlassFlow. The Rius MCP server lets your coding assistant query your agents' traces, errors, cost and alerts in plain language, from VS Code (GitHub Copilot), Claude Code, Cursor, Codex or any other MCP client.

This repository holds the public README for the hosted server, plus a reference copy of its server.json. The live registry entry is published by the server's release pipeline, so its version may be newer than the copy here. The server itself runs as a managed service; there is nothing to install or self-host.

  • Endpoint: https://mcp.eu.console.rius-glassflow.com/mcp
  • Transport: Streamable HTTP
  • Auth: OAuth 2.1 sign-in in the browser, or a Rius API key for headless use
  • MCP registry name: ai.glassflow/rius
  • Docs: https://docs.glassflow.ai/rius/mcp

What you can ask

Once connected, ask questions about your agents in the chat:

  • "Which of my agents had the most errors in the last 24 hours, and what are the top error groups?"
  • "Show me today's failed runs for support-agent and walk me through the worst one."
  • "Compare cost and latency between versions 1.4.0 and 1.5.0 of support-agent."
  • "Which end users cost the most this week?"
  • "List open alerts and explain what triggered each one."
  • "Create an alert that fires when checkout-agent error rate goes above 5%."

Prerequisites

A Rius workspace with agent traces in it. Sign up and follow the quickstart to send your first traces with the Rius SDK or any OpenTelemetry exporter.

Connect

Every client below uses the server name rius. On first use the client signs you in to Rius through the browser (some clients need a command to start it; see the per-client notes). The server supports dynamic client registration and client ID metadata documents, so there is no client ID to configure.

VS Code (GitHub Copilot)

Add the server to .vscode/mcp.json in your workspace (or your user mcp.json). Note the top-level key is servers:

{
  "servers": {
    "rius": {
      "type": "http",
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp"
    }
  }
}

Start the server from the Start action above its entry in mcp.json (or run MCP: List Servers) and allow the sign-in prompt. Then open Copilot Chat, switch to Agent mode and select the rius tools.

Claude Code

claude mcp add --transport http rius https://mcp.eu.console.rius-glassflow.com/mcp

Run /mcp inside Claude Code to sign in.

Cursor

Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

{
  "mcpServers": {
    "rius": {
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp"
    }
  }
}

Then approve the server under Settings → MCP.

Codex

codex mcp add rius --url https://mcp.eu.console.rius-glassflow.com/mcp

Other clients

Most clients accept a JSON block like this one:

{
  "mcpServers": {
    "rius": {
      "type": "http",
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp"
    }
  }
}

Clients that only support stdio can bridge through mcp-remote:

npx mcp-remote https://mcp.eu.console.rius-glassflow.com/mcp

Per-client notes (Claude Desktop, Windsurf, Cline, Zed, Gemini CLI, opencode) are in the MCP server docs.

Headless use with an API key

For CI jobs, scripts or remote agents that cannot open a browser, send a Rius API key as a bearer token instead of signing in. Create a key with the Query data capability from the console's MCP page ("Connect an agent") or the Create API key dialog.

export RIUS_API_KEY=...
claude mcp add --transport http rius https://mcp.eu.console.rius-glassflow.com/mcp \
  --header "Authorization: Bearer ${RIUS_API_KEY}"

In VS Code, let it prompt for the key once and store it securely:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "rius-key",
      "description": "Rius API key",
      "password": true
    }
  ],
  "servers": {
    "rius": {
      "type": "http",
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:rius-key}"
      }
    }
  }
}

In other JSON configs, add a headers block. Not every client expands environment variables, so use your client's variable syntax or paste the key:

{
  "mcpServers": {
    "rius": {
      "type": "http",
      "url": "https://mcp.eu.console.rius-glassflow.com/mcp",
      "headers": {
        "Authorization": "Bearer ${RIUS_API_KEY}"
      }
    }
  }
}

In Codex, set bearer_token_env_var = "RIUS_API_KEY" on the server entry in ~/.codex/config.toml.

Tools

The main tools are below. The full, current reference with parameters is at https://docs.glassflow.ai/rius/mcp/tools.

AreaTools
Workspace and identityget_me, list_workspaces, list_users, user_activity_summary
Agentslist_agents, agent_versions, compare_agent_versions, agent_lifecycle_events
Traces and spansagent_traces_summary, list_agent_traces, get_agent_trace, list_spans, describe_search_catalog
Errors and metricsagent_error_groups, workspace_metrics_overview, list_metrics_catalog
Alerts (read)list_alerts, get_alert, list_alert_rules, list_alert_channels, describe_alert_catalog
Alerts (write)create_alert_rule, update_alert_rule, delete_alert_rule, create_alert_channel, update_alert_channel, delete_alert_channel, ack_alert
Keys (write)create_api_key

The tools marked "write" change data. When a call is not allowed, the server tells the assistant why instead of failing silently:

  • Signed in: read tools and ack_alert work for every member. Alert rule and channel tools, list_alert_channels and create_api_key need an org admin.
  • With an API key: a key is read-only unless it was created with alerts:manage (alert rule tools) or channels:manage (alert channel tools, including list_alert_channels). ack_alert and create_api_key never work with a key.

Links

License

The contents of this repository are released under the MIT License. The Rius service is governed by its own terms.

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