AgentOps MCP
About
An MCP server for AgentOps, providing observability and evaluation tools for AI agents.
Details
- Author
- agentops-ai
- Downloads
- 574
- Categories
- Developer Tools, AI
Jump to
- Authenticate with an AgentOps project API key to get a JWT token
- Retrieve project information and configuration settings
- Look up trace information by trace ID
- Get span details by span ID
- Fetch performance metrics for a specific trace or span
- Obtain comprehensive trace data including all spans and metrics
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AgentOps MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Configure your MCP client (e.g., Claude Desktop) by adding the agentops-mcp server with the command npx agentops-mcp and the environment variable AGENTOPS_API_KEY. You can also install it automatically via Smithery or build it locally from the repository. Use the available tools to authenticate, retrieve traces/spans, and fetch performance metrics.
auth
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_trace
Get trace information and metrics by trace_id.
get_span
Get span information and metrics by span_id.
get_complete_trace
Reserved for explicit requests for COMPLETE or ALL data. Get complete trace information and metrics by trace_id.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"agentops mcp": {
"agentops-mcp": {
"command": "npx",
"args": [
"agentops-mcp"
],
"env": {
"AGENTOPS_API_KEY": ""
}
}
}
}
}McpServers
{
"agentops-mcp": {
"command": "npx",
"args": [
"agentops-mcp"
],
"env": {
"AGENTOPS_API_KEY": ""
}
}
}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.
Add the following to your MCP configuration file:
{ "mcpServers": { "agentops-mcp": { "command": "npx", "args": ["agentops-mcp"], "env": { "AGENTOPS_API_KEY": "" } } } }
To install agentops-mcp for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install @AgentOps-AI/agentops-mcp --client claude
# 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
Authorize using an AgentOps project API key and return JWT token.
- api_key(string): Your AgentOps project API key
- trace_id(string): The trace ID to retrieve
- span_id(string): The span ID to retrieve
Get comprehensive trace information including all spans and their metrics.
- Node.js >= 18.0.0
- AgentOps API key (passed as parameter to tools)
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