beginner⏱️ 12-22 minutes📅 Updated August 2026

Step-by-step guide to integrate AgentOps MCP server with ChatMCP. Includes auth and get_trace.

AgentOps + ChatMCP: Complete MCP Integration

AgentOps is a MCP server that Provide observability and tracing for debugging AI agents with AgentOps API..

When integrated with ChatMCP, you can:

  • Authorize with AgentOps API key
  • Retrieve trace information by ID
  • Get span information by ID

This guide provides step-by-step instructions to set up AgentOps in ChatMCP, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

  • AgentOps will be fully integrated and operational
  • You can use AgentOps tools directly in ChatMCP
  • All AgentOps capabilities will be available for your workflows
  • Access to 4 different tools

Prerequisites

Before starting, ensure you have:

  • API key from AgentOps dashboard
  • ChatMCP installed and configured
  • Compatible operating system (Desktop, Mobile)

Installation

Step 1: Install AgentOps

Configuration

Step 2: Configure ChatMCP

  1. Open ChatMCP settings
  2. Navigate to MCP server configuration
  3. Add AgentOps server with appropriate settings
  4. Save and restart if needed

Examples

Once configured, you can use AgentOps in ChatMCP:

Agent Performance Debugging

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Ask ChatMCP: "Show me traces for agent runs that failed today"

Expected Result: undefined

Cost Analysis

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Ask ChatMCP: "Get cost breakdown for trace abc123"

Expected Result: undefined

Performance Optimization

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Ask ChatMCP: "Show slowest spans in recent traces"

Expected Result: undefined

Testing Your Setup

  1. Launch ChatMCP
  2. Verify AgentOps is available in the tools list
  3. Test basic AgentOps functionality

Troubleshooting

Common Issues

Server Installation Failed

Symptoms: Market install hangs or errors

Cause: Missing runtime dependencies (e.g., Python/uv or Node.js).

Solution:

  • Ensure you have Python and Node.js installed on your system.
  • Try installing the server manually via terminal to check for errors.

Tool Loop / Hallucination

Symptoms: Model repeatedly calls the same tool, Model claims to do something but fails

Cause: Context overload or weak model performance.

Solution:

  • Switch to a more capable model (e.g., Claude 3.5 Sonnet or GPT-4o).
  • Disable unused MCP servers to reduce context noise.

AgentOps not appearing in ChatMCP

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

  • Verify configuration syntax
  • Check AgentOps installation
  • Restart ChatMCP
  • Check logs for error messages

Next Steps

Now that AgentOps is integrated with ChatMCP:

  • Explore all AgentOps capabilities through ChatMCP
  • Check out other MCP servers that work with ChatMCP
  • Join the MCP community for tips and support
  • Consider contributing to AgentOps development

Need Help?

Related Resources

More Integrations

Explore other MCP servers that work with ChatMCP

Need Help?

Join the MCP community for support and discussions

AgentOps + ChatMCP: MCP Setup Guide (2026)