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.
agentops-mcp source profile. From the maintainer documentation: “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.”
The documented npm package is agentops-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares AGENTOPS_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_trace | |
| get_span | |
| get_complete_trace |
{
"mcpServers": {
"agentops-mcp": {
"command": "npx",
"args": [
"agentops-mcp"
],
"env": {
"AGENTOPS_API_KEY": "YOUR_AGENTOPS_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| AGENTOPS_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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