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MCP Server

AgentOps provides a Model Context Protocol (MCP) server that exposes the Public API as a set of tools for AI assistants. This allows AI models to directly query your AgentOps data during conversations and debug AI agents with greater context.

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Configuration & Installation

Add the AgentOps MCP to your MCP client’s configuration file.

npx configuration:

{
  "mcpServers": {
    "agentops": {
      "command": "npx",
      "args": [
        "agentops-mcp"
      ],
      "env": {
        "AGENTOPS_API_KEY": ""
      }
    }
  }
}

Cursor Deeplink:

Add the AgentOps MCP to Cursor with Deeplink.

Smithery:

To install agentops-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @AgentOps-AI/agentops-mcp --client claude

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Available Tools

The MCP server exposes the following tools that mirror the Public API endpoints:

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auth

Authorize using an AgentOps project API key.

  • Parameters: api_key (string) - Your AgentOps project API key
  • Usage: The server will automatically prompt for authentication when needed

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get_project

Get details about the current project.

  • Parameters: None
  • Returns: Project information including ID, name, and environment

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get_trace

Get trace information by ID.

  • Parameters: trace_id (string) - The trace identifier
  • Returns: Trace details and metrics

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get_span

Get span information by ID.

  • Parameters: span_id (string) - The span identifier
  • Returns: Span attributes and metrics

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get_complete_trace

Get complete trace information by ID.

  • Parameters: span_id (string) - The trace identifier
  • Returns: Complete trace and associated span details.

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Environment Variables

The MCP server supports the following environment variables:

  • AGENTOPS_API_KEY: Your AgentOps project API key
  • HOST: API endpoint (defaults to https://api.agentops.ai)