Openlayer

com.openlayer由 openlayer.com 发布官方发布者v0.16.1更新于 Oct 27, 2026

Inspect AI projects, traces, tests, and governance rules in Openlayer, and debug failing evals.

已验证Streamable HTTP可网页运行开发者工具安全与监控AI 与机器学习

概览

AI 生成的概览

托管的 Openlayer MCP 服务器，让助手查看 AI 项目、追踪、测试与治理规则，并排查失败的评估。

可以做什么
  • 读取所选工作区中的项目、数据源、追踪、测试、结果与治理规则
  • 按需创建或更新这些项目、测试与治理规则
  • 通过 Openlayer 修复循环排查失败的测试
  • 查询 Openlayer 文档、流水线与测试结果
适用场景
适合在 Openlayer 上构建或维护 LLM 与智能体应用时使用，让助手无需切换到网页端即可查看评估结果、追踪生产行为或处理失败的测试。
运行要求
远程 streamable HTTP 端点 mcp.openlayer.com；需要 Openlayer 账号，首次调用工具时通过 OAuth 登录并选择工作区。配套技能包还需要 OPENLAYER_API_KEY，自托管部署需将服务器指向自己的地址。
安装前请注意
助手可以创建、更新和删除工作区对象，如项目、测试与治理规则；README 称写入和删除工具会请求确认，请留意这些确认提示。工具调用仅发往 Openlayer 的 API，访问范围限于登录时选择的工作区。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Openlayer，将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.openlayer%2Fmcp/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "openlayer": {
      "type": "http",
      "url": "https://mcp.openlayer.com/mcp"
    }
  }
}

README

Openlayer Skills

Agent Skills that teach AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.) how to integrate apps with Openlayer — the AI evaluation and observability platform.

Coding agents produce significantly better results with the skill installed, because they are conditioned to follow Openlayer's current best practices instead of guessing from memory (outdated SDK calls, wrong env vars, invented test configs).

Skills

SkillDescription
openlayerMain skill. Instrument code with tracing (monitoring), set up offline openlayer.json + tests.json evals (development), create tests/guardrails, gate CI/CD, run the MCP fix-loop, and access data and docs.

Installation

Claude Code plugin

bash
claude plugin marketplace add openlayer-ai/openlayer-skillsclaude plugin install openlayer@openlayer

Cursor plugin

/add-plugin openlayer

GitHub Copilot

GitHub Copilot reads .github/plugin/plugin.json and the same skills and .mcp.json as Claude Code.

In VS Code, add the marketplace to your settings.json, then install Openlayer from the Extensions view (search @agentPlugins):

json
{  "chat.plugins.marketplaces": ["openlayer-ai/openlayer-skills"]}

In the Copilot CLI:

bash
copilot plugin marketplace add openlayer-ai/openlayer-skillscopilot plugin install openlayer@openlayer

Other agents

Codex, Gemini CLI, Windsurf, opencode, and dozens more install through the skills CLI:

bash
npx skills add openlayer-ai/openlayer-skills --skill "openlayer"

For claude.ai, Copilot's cloud coding agent and code review, a manual symlink, or anything else, see the installation guide — it is the source of truth and stays current as these tools change.

Prerequisites

An Openlayer account and an API key:

bash
export OPENLAYER_API_KEY=...# self-hosted / local only:export OPENLAYER_BASE_URL=https://api.openlayer.com/v1

Find your API key in the Openlayer app under Workspace settings → API keys (see https://docs.openlayer.com/workspace-and-projects/find-your-api-key).

Usage

Once installed, the agent uses the skill automatically when relevant — for example:

  • Adding Openlayer tracing/monitoring to an LLM or agent app
  • Setting up offline evals (openlayer.json + tests.json) and pushing commits
  • Creating tests from the catalog and configuring guardrails
  • Gating CI/CD on eval results
  • Debugging failing tests via the Openlayer MCP fix-loop
  • Querying projects, pipelines, test results, or looking up Openlayer docs

MCP server

The plugin also connects your agent to the hosted Openlayer MCP server at https://mcp.openlayer.com/mcp (US accounts on app.openlayer.com; this is the .mcp.json default). The first time a tool is used, you sign in to Openlayer with OAuth and pick a workspace. The agent can then read projects, data sources, traces, tests, results, and governance rules in that workspace, and create or update them when you ask. Write and delete tools ask for confirmation.

EU accounts (eu.openlayer.com) must use https://mcp-eu.openlayer.com/mcp. Each hosted MCP server only accepts tokens from its own region's API, so an EU account pointed at the US server fails OAuth. Outside the regional cloud hosts the default stays https://mcp.openlayer.com/mcp.

Tool calls go only to Openlayer's API. Nothing is sent anywhere else. See the privacy policy. Self hosted deployments should point the server at their own URL, as the MCP docs describe.

Feedback & Requests

Something not working as expected, or want a new use case covered? Open an issue at https://github.com/openlayer-ai/openlayer-skills/issues or email [email protected].

来源：README.md，提交 3ee3885

工具

0
该服务器需要登录，因此 SourceWeft 无法在没有账号的情况下读取其工具，也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v0.16.1最新Oct 20, 2026

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