AgentOps MCP
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AGENTOPS_API_KEY | Yes | Your AgentOps project API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| authA | Authorize using the AGENTOPS_API_KEY. If the API key is not provided and cannot be found in the directory, ask the user for the API key. |
| get_traceC | Get trace information and metrics by trace_id. |
| get_spanC | Get span information and metrics by span_id. |
| get_complete_traceA | Reserved for explicit requests for COMPLETE or ALL data. Get complete trace information and metrics by trace_id. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
The tools have some overlap that could cause confusion, particularly between get_trace and get_complete_trace, which both retrieve trace data by trace_id, making their boundaries unclear. However, get_span is distinct in targeting span-level data, and auth is clearly separate for authentication purposes.
The naming is mostly consistent with a verb_noun pattern (e.g., get_complete_trace, get_span, get_trace), but auth deviates as a standalone verb without a noun, which is a minor inconsistency. Overall, the naming is readable and follows a predictable style.
With 4 tools, the count is slightly low but reasonable for a server focused on trace and span retrieval, as it covers core operations without being overly thin. It could benefit from additional tools like creating or updating traces to be more comprehensive, but it's not severely lacking.
The tool surface is significantly incomplete for an observability domain like AgentOps, as it only provides read operations (get) for traces and spans, with no create, update, delete, or search capabilities. This will likely cause agent failures when trying to perform full lifecycle management of monitoring data.