AgentOps MCP

# AgentOps MCP Server [](https://smithery.ai/server/@AgentOps-AI/agentops-mcp) 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. ## Usage ### MCP Client Configuration Add the following to your MCP configuration file: ```json { "mcpServers": { "agentops-mcp": { "command": "npx", "args": ["agentops-mcp"], "env": { "AGENTOPS_API_KEY": "" } } } } ``` ## Installation ### Installing via Cursor Deeplink [](https://cursor.com/install-mcp?name=agentops&config=eyJjb21tYW5kIjoibnB4IGFnZW50b3BzLW1jcCIsImVudiI6eyJBR0VOVE9QU19BUElfS0VZIjoiIn19) ### Installing via Smithery To install agentops-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@AgentOps-AI/agentops-mcp): ```bash npx -y @smithery/cli install @AgentOps-AI/agentops-mcp --client claude ``` ### Local Development To build the MCP server locally: ```bash # 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 ``` ## Available Tools ### `auth` Authorize using an AgentOps project API key and return JWT token. **Parameters:** - `api_key` (string): Your AgentOps project API key ### `get_trace` Retrieve trace information by ID. **Parameters:** - `trace_id` (string): The trace ID to retrieve ### `get_span` Get span information by ID. **Parameters:** - `span_id` (string): The span ID to retrieve ### `get_complete_trace` Get comprehensive trace information including all spans and their metrics. **Parameters:** - `trace_id` (string): The trace ID ## Requirements - Node.js >= 18.0.0 - AgentOps API key (passed as parameter to tools)