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AgentOps API MCP Server

@AgentOps-AI

代码仓库

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

AgentOps-AI

关于 AgentOps API MCP Server

Official MCP server for the AgentOps SDK

AgentOps API MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

AgentOps API MCP Server 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 AgentOps API MCP Server?

An MCP server that enables LLM agents to interact with the AgentOps API to access trace data. It provides tools for listing recent traces and retrieving detailed information about specific traces, handling authentication and API communication.

How to use AgentOps API MCP Server?

Configure it as an MCP server in Claude Coder (e.g., in ~/.config/claude-cli/config.yaml) by specifying the server binary path, then run Claude with the --mcp agentops-api flag and include your AgentOps API key in prompts. For standalone use, run ./bin/run-server or uv run -m mcp_server_agentops_api.

Key features of AgentOps API MCP Server

  • List recent traces from an AgentOps project
  • Get detailed information about specific traces
  • Secure two-step authentication (API key → JWT token)
  • Optional custom API URL for non-production environments
  • Stateless design – no user data stored between requests

Use cases of AgentOps API MCP Server

  • An LLM agent asks for the most recent traces in a project
  • An agent drills into a specific trace to inspect spans and metadata
  • Debugging agent workflows by fetching trace timing and details
  • Integrating trace data retrieval into automated agent pipelines

常见问题

1

What tools does the server provide?

Two tools: `list_traces` (with parameters `AGENTOPS_API_KEY`, `limit`, `AGENTOPS_API_URL`) and `trace_detail` (with parameters `AGENTOPS_API_KEY`, `trace_id`, `AGENTOPS_API_URL`).

2

How does authentication work?

The server requires an AgentOps API key with each request. It exchanges the key for a JWT token, which is used for all authenticated API calls. API keys are never stored between requests.

3

Where does trace data live?

Data resides in the AgentOps API (production at `https://api.agentops.ai` by default). The server does not store any data – responses are passed directly to the agent.

4

What are the runtime dependencies?

The server uses Python and can be run via the provided script (`./bin/run-server`) or with `uv run -m mcp_server_agentops_api`. A Docker image can also be built and run.

5

Can I use a custom API URL?

Yes, both tools accept an optional `AGENTOPS_API_URL` parameter to override the default production endpoint for local development or staging environments.

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