Rius

Official registry Cloud and DevOps

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

What can you do with Rius?

  • "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%."

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http rius 'https://mcp.eu.console.rius-glassflow.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "rius": {
            "type": "http",
            "url": "https://mcp.eu.console.rius-glassflow.com/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Rius MCP server
  2. What you can ask
  3. Prerequisites
  4. Connect
  5. Headless use with an API key
  6. Tools
  7. Links
  8. License

Rius MCP server

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.

License

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

Frequently asked questions

What is Rius?

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

How do I install Rius?

It runs as a remote server. In Claude Code: claude mcp add --transport http rius 'https://mcp.eu.console.rius-glassflow.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Rius need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Rius open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Rius?

It is published by glassflow. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.