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AgentOps MCP Server — MCP Servers

An MCP server that lets AI assistants query AgentOps traces and spans for debugging and observabili…

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Quick Info

Category
developer-tools

Tags

agentops
mcp
observability
traces
spans
debugging
ai-agents

Overview

AgentOps MCP Server is an open-source Model Context Protocol implementation that exposes AgentOps observability data to AI assistants and IDEs. It enables natural language access to trace and span information, helping developers debug AI agents with contextual insights during conversations. The server provides tools for authentication, retrieving trace details, inspecting spans, and fetching complete trace data. It integrates with Claude Desktop, Cursor, and other MCP-compatible environments, allowing developers to monitor and analyze AI agent behavior seamlessly. Authentication is handled via project API keys, and configuration is supported with npx, Cursor deeplinks, or Smithery for one-click installs.

Key Features

Authenticate with AgentOps API key
Retrieve trace details by trace ID
Inspect span attributes and metrics
Fetch complete trace information with associated spans
Compatible with Claude Desktop, Cursor, and Smithery installs
Environment-based configuration
Secure, project-specific access
Mirrors AgentOps Public API as MCP tools

Use Cases

Enhance development workflows and productivity
Integrate AgentOps MCP Server with Claude and other AI assistants
Streamline developer-tools processes using MCP protocol