AgentOps MCP

AgentOps MCP Server

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Usage

MCP Client Configuration

Add the following to your MCP configuration file:

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

Installation

Installing via Cursor Deeplink

Installing via Smithery

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

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

Local Development

To build the MCP server locally:

# Clone and setup
git clone https://github.com/AgentOps-AI/agentops-mcp.git
cd mcp
npm install

# Build the project
npm run build

# Run the server
npm pack

Available Tools

`auth`

Authorize using an AgentOps project API key and return JWT token.

Parameters:

api_key (string): Your AgentOps project API key

Returns:

Authorization headers object or error message

`get_project`

Get project information and configuration.

`get_trace`

Retrieve trace information by ID.

Parameters:

trace_id (string): The trace ID to retrieve

`get_span`

Get span information by ID.

Parameters:

span_id (string): The span ID to retrieve

`get_complete_trace`

Get comprehensive trace information including all spans and their metrics.

Parameters:

trace_id (string): The trace ID

Requirements

Node.js >= 18.0.0
AgentOps API key (passed as parameter to tools)

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

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AgentOps MCP

AgentOps MCP Server

Usage

MCP Client Configuration

Installation

Installing via Cursor Deeplink

Installing via Smithery

Local Development

Available Tools

`auth`

`get_project`

`get_trace`

`get_span`

`get_complete_trace`

Requirements

Related MCP Servers

Postman Tool Generation MCP Server

Superset MCP Integration

PyMCPAutoGUI

Agentforce MCP Server

New MCP Servers

MCP directory API