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agentrace

Official registry Cloud and DevOps

Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.

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).

NPM package @ura-dev/agentrace
Claude Code 
claude mcp add agentrace -- node -y @ura-dev/agentrace@1.0.0 '<agentrace-mcp>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agentrace": {
            "command": "node",
            "args": [
                "-y",
                "@ura-dev/agentrace@1.0.0",
                "<agentrace-mcp>"
            ]
        }
    }
}

Frequently asked questions

What is agentrace?

Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.

How do I install agentrace?

It runs on your machine. In Claude Code: claude mcp add agentrace -- node -y @ura-dev/agentrace@1.0.0 '<agentrace-mcp>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does agentrace 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.

Who maintains agentrace?

It is published by ura-tools. 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.