原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Okareo

作者:okareo-ai版本 0.0.57i★ –i在云端运行
注册名称com.okareo/okareo

安装

概览

作者提供的说明(英文原文)

Simulation, evaluation and monitoring for voice agents.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://tools.okareo.com/mcp

在终端中运行这条命令

claude mcp add --transport http okareo https://tools.okareo.com/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "okareo": {
      "url": "https://tools.okareo.com/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "okareo": {
      "type": "http",
      "url": "https://tools.okareo.com/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://tools.okareo.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 okareo.com 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1393 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1393 个服务器的 67% 更新
  • 基础检查结果等于或优于此分类中其他 1393 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Okareo 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.0.57)于23天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Okareo MCP Server

The Okareo MCP server exposes Okareo's evaluation capabilities as MCP tools, allowing AI coding assistants to create and manage scenarios, register models, run evaluations, and execute multi-turn simulations directly from your editor.

For detailed documentation, see the Okareo MCP docs.

Prerequisites

  • An Okareo account at app.okareo.com
  • A copilot that supports MCP servers (Claude Code, Cursor, VS Code, or GitHub Copilot), or Slackbot in Slack
  • Python 3.10–3.12 (only for the local install modes; not needed for remote)

Remote MCP (hosted) — recommended

The fastest way to get started. No local install, no Python, no API key in .mcp.json. Browser sign-in handles auth on first connect.

Recommended (OAuth — Claude Code, Claude Desktop, Cursor, VS Code 1.101+)

Add to your copilot's MCP config (typically .mcp.json):

{

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

Reload the copilot. It will open a browser to Okareo sign-in once; thereafter the copilot stores the token itself. Your .mcp.json contains no secrets.

Fallback (Bearer header — older clients or headless / CI)

For clients that haven't shipped the MCP OAuth flow yet, paste your API key as a bearer header. Prefer the env-var form over an inline literal:

{

"mcpServers": { "okareo": { "type": "http", "url": "https://tools.okareo.com/mcp", "headers": { "Authorization": "Bearer ${env:OKAREO_API_KEY}" } } } }

GitHub Copilot (in VS Code and the Copilot CLI), Slackbot and every other client are set up at docs.okareo.com/mcp/configuration.

Working across multiple Okareo organizations

If you have access to more than one Okareo account, simply Clear Authentication and then re-authenticate with the account you want to work in. You can always ask which account your are in and have acccess to.


Local install (alternative)

Run the MCP server on your own machine. Useful for offline / airgapped environments and for development.

Prefer the [Remote MCP](#remote-mcp-hosted--recommended) section above unless you have a specific reason to install locally (airgapped, custom build, development on this repo). The remote endpoint requires no install and stays current automatically.

For multi-org users, the remote endpoint also exposes tenant management tools (list_tenants, switch_tenant).

Step 1: Set Your API Key
export OKAREO_API_KEY="your-api-key"

Add this to your ~/.zshrc or ~/.bash_profile for persistence.

Step 2: Configure Your Copilot
Claude Code

Add to .mcp.json:

{

"mcpServers": { "okareo": { "command": "uvx", "args": ["okareo-mcp"], "env": { "OKAREO_API_KEY": "${OKAREO_API_KEY}" } } } }

No pre-install needed — uvx handles it automatically.

Cursor

Add to .cursor/mcp.json:

{

"mcpServers": { "okareo": { "command": "uvx", "args": ["okareo-mcp"] } } }

Cursor inherits OKAREO_API_KEY from your shell environment.

Alternative: pip install

If you don't have uv installed:

pip install okareo-mcp

Then use "command": "okareo-mcp" instead of "command": "uvx" with "args": ["okareo-mcp"].


Configuration Reference

VariableDefaultDescription
OKAREO_API_KEY*(required)*Your Okareo API key
OKAREO_BASE_URLhttps://api.okareo.comOverride for on-prem Okareo backend
TRANSPORTstdioTransport: stdio (local) or sse (Docker)
PORT8000Port for SSE transport

Available Tools

Scenarios
ToolDescription
save_scenarioSave a named scenario from rows of input/result data (idempotent)
list_scenariosList all scenarios in the project with names, IDs, and row counts
get_scenarioRetrieve a scenario's metadata and all data rows by name or ID
create_scenario_versionCreate a new version of an existing scenario with updated data
preview_delete_scenarioPreview what will be deleted before removing a scenario
delete_scenarioPermanently delete a scenario and all related test data
Generation Models
ToolDescription
list_available_llmsBrowse available LLMs from the Okareo registry
register_generation_modelRegister a generation model for testing by selecting an LLM from the registry
list_generation_modelsList all registered generation models in the project
get_generation_modelRead detailed information about a registered generation model
update_generation_modelChange the LLM a registered generation model points to
delete_generation_modelRemove a registered generation model and all its related test data
Tests & Checks
ToolDescription
list_checksList available quality checks (built-in and custom) for evaluating model outputs
run_testRun a quality test that evaluates a model against a scenario using specified checks
list_test_runsFind past test runs, most recent first. detail_level="summary" (default) or "detailed" for aggregate metrics
get_test_run_resultsLoad one page of a run's results by ID or name. detail_level="summary" (default) / "detailed" (per-check outcomes + explanations) / "full" (transcripts). Defaults to 20 conversations. Carries a rerun block — the call and config to re-run this simulation
get_conversation_transcriptRetrieve the full conversation transcript for a single data point
reevaluate_test_runRe-score a completed test run against a (possibly different) set of checks
create_or_update_checkCreate or update a quality check by name — model-based, code-based, or audio (upsert)
generate_checkGenerate a check from a natural-language description, then save it
get_checkRetrieve a check's full configuration, including its prompt template or code
delete_checkPermanently delete a check by name
calibrate_checkDry-run a draft check against a finished test run — per-row verdicts and the arguments the check received, saving nothing
Simulations (Multi-Turn)
ToolDescription
create_or_update_targetCreate or update a Target — generation model, custom endpoint, or voice (OpenAI, Deepgram, Twilio)
get_targetRetrieve a Target's configuration by name (all types)
list_targetsFind simulation targets (voice and custom_endpoint). Bounded to 20 by default; name_contains filters
delete_targetRemove a simulation target and all its related test data
create_or_update_driverDefine a simulated user persona that will interact with your target
get_driverRetrieve a Driver's full configuration including the persona prompt
list_driversFind Driver personas. Bounded to 20 by default; name_contains filters
list_driver_voicesDiscover the voices, voice profiles, and languages available for voice drivers
run_simulationRun a multi-turn conversation evaluation. With based_on_run_id it inherits the original run's full configuration; any argument you pass overrides that one field
list_simulationsList past simulation runs with optional filters (target, scenario, limit)
Voice Monitoring
ToolDescription
ingest_conversationsSubmit completed voice conversations to Okareo for monitoring
connect_voice_integrationConnect a voice provider so its traffic flows into Okareo monitoring
list_voice_integrationsList the voice provider integrations in your project
get_voice_integrationRetrieve a voice provider integration by ID, including its status
update_voice_integrationUpdate a voice provider integration's metadata
rotate_voice_integration_secretRotate a voice provider integration's secrets
delete_voice_integrationDelete a voice provider integration by ID
get_voice_webhook_urlGet the inbound webhook endpoint for a voice provider
Projects
ToolDescription
list_projectsList every project you can work in — id, name, tags, archive state — with the active one marked
select_projectChoose the project to work in for this conversation
create_projectCreate a new project
update_projectRename a project, or replace its tags
archive_projectHide a project from the project picker. Reversible; nothing is deleted
unarchive_projectRestore an archived project to the picker
clone_projectCopy an existing project's scenarios into a new project (dry-run first)

Okareo has no project delete — in the app, the API, or here. Archiving is

the removal, and it only hides the project from the picker: its scenarios,

runs, and dashboards stay intact and every tool still works against it.

Analytics & Dashboards
ToolDescription
query_analyticsQuery Okareo's product analytics to understand evaluation trends
list_dashboardsList the analytics dashboards in your project
get_dashboardRetrieve a dashboard's full configuration by name
save_dashboardCreate or update an analytics dashboard by name (upsert)
reorder_dashboardsSet the display order of dashboards
delete_dashboardDelete a dashboard by name
Tenant Management (remote MCP only)
ToolDescription
list_tenantsList every Okareo organization you have access to in this MCP session
switch_tenantDoesn't change the active organization; returns how to reconnect and pick another one at sign-in
Documentation & Templates
ToolDescription
get_docsQuery the Okareo documentation system for conceptual or user-legible explanations
get_templatesRetrieve prompt templates for common Okareo patterns (works offline)
get_reps_baselineServe REPS agent-evaluation baseline material (scenario banks, drivers, checks, eval configs) from the latest tagged okareo-tools release

Troubleshooting

SymptomCauseFix
okareo-mcp: command not foundNot installed or not in PATHRun pip install -e . (dev) or use uvx okareo-mcp (user)
Server exits with API key errorOKAREO_API_KEY not setExport it: export OKAREO_API_KEY="..."
pip install fails on Python 3.13+Okareo SDK requires Python <3.13Use Python 3.10–3.12
Copilot can't connect (Docker)Wrong URLEnsure URL ends with /sse and port matches
Cursor doesn't pick up API keyCursor launched from Dock, not terminalLaunch Cursor from terminal: cursor .

Contributing

This repository is a curated public mirror; the canonical source is maintained by Okareo. We welcome issues and consider community pull requests — see CONTRIBUTING.md for how proposed changes are reviewed and ported.

License & Trademarks

The Okareo MCP server source code is licensed under the Apache License 2.0 (see also NOTICE).

"Okareo", the Okareo logo, and Okareo product names are trademarks of Okareo, Inc. and are not covered by the Apache 2.0 license. See TRADEMARK.md for permitted use.

问 PopNx