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MCP Server Agentops

@AgentOps-AI

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

AgentOps-AI

关于 MCP Server Agentops

Official MCP server for the AgentOps SDK

#mcp-server#agentops#sdk

MCP Server Agentops 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-agentops": {
      "command": "uv",
      "args": [
        "run",
        "-m",
        "mcp_server_agentops_api"
      ]
    }
  }
}

MCP Server Agentops 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-server-agentops?

mcp-server-agentops is an MCP (Model Context Protocol) server that enables LLM agents to read trace data from the AgentOps API. It provides tools to list recent traces and retrieve detailed information about specific traces, handling authentication and API communication on behalf of the agent.

How to use mcp-server-agentops?

The server can be run interactively through Claude Coder (recommended) or as a standalone process. When using Claude Coder, add the server to your Claude configuration file (~/.config/claude-cli/config.yaml) with the correct path to the run-server script, then start Claude with --mcp agentops-api. Agents include their AgentOps API key in each prompt or tool call. Standalone execution is possible via ./bin/run-server or uv run -m mcp_server_agentops_api.

Key features of mcp-server-agentops

  • List recent traces from an AgentOps project
  • Get detailed information about a specific trace
  • Secure two-step authentication (API key → JWT token)
  • Stateless operation; no API keys stored between requests
  • Customizable API URL for non‑production environments
  • Designed for use with Claude Coder

Use cases of mcp-server-agentops

  • An agent reviews recent traces to monitor its own execution history
  • A developer fetches detailed trace data for debugging a specific agent run
  • An automated workflow checks trace counts to verify system health
  • A non‑production environment uses a custom API URL to test against staging

常见问题

1

What is required to use mcp-server-agentops?

An AgentOps API key is mandatory for every request. The key is passed as a parameter to the `list_traces` or `trace_detail` tool.

2

How does authentication work?

The server exchanges the provided API key for a JWT token from the AgentOps API, then uses that token for subsequent authenticated requests. The API key is never stored between requests.

3

What tools does mcp-server-agentops provide?

Two tools: `list_traces` (returns recent traces with IDs, spans, and timestamps) and `trace_detail` (returns full details for a given trace ID).

4

Can I use a custom API URL?

Yes. Both tools accept an optional `AGENTOPS_API_URL` parameter. The default is the production endpoint at `https://api.agentops.ai`.

5

Does the server store any data between requests?

No. Each request is stateless; raw API responses are returned directly to the agent, and no user data is persisted.

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