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.
Overview
what is AgentOps MCP?
AgentOps MCP is a server that provides access to observability and tracing data, essential for debugging complex AI agent runs, offering insights into the success and failure of AI agents.
how to use AgentOps MCP?
To use AgentOps MCP, configure your MCP client with the provided JSON configuration, install it via Smithery, or build it locally from the source code.
key features of AgentOps MCP?
- Access to observability and tracing data for AI agents
- Tools for authorization, project information retrieval, and trace metrics
- Local development and installation options
use cases of AgentOps MCP?
- Debugging AI agent performance issues
- Analyzing trace data to improve AI agent reliability
- Monitoring AI agent operations in real-time
FAQ from AgentOps MCP?
- What is required to run AgentOps MCP?
You need Node.js version 18.0.0 or higher and an AgentOps API key.
- Can I run AgentOps MCP locally?
Yes! You can clone the repository and build the server locally.
- What tools are available in AgentOps MCP?
Tools include
auth,get_project,get_trace,get_span, and more for managing and retrieving trace information.
Server Config
{
"mcpServers": {
"agentops-mcp": {
"command": "npx",
"args": [
"agentops-mcp"
],
"env": {
"AGENTOPS_API_KEY": ""
}
}
}
}