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AgentOps API MCP Server

@AgentOps-AI

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

AgentOps-AI

AgentOps API MCP Server について

Official MCP server for the AgentOps SDK

AgentOps API MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

AgentOps API MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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