GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Simulation, evaluation and monitoring for voice agents.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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:
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。
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:
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。
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。
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
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)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
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。
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。
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。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
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.
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.
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.
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 ${env:OKAREO_API_KEY}" } } } }
GitHub Copilot (in VS Code and the Copilot CLI), Slackbot and every other client are set up at docs.okareo.com/mcp/configuration.
If you have access to more than one Okareo account, simply Clear Authentication and then re-authenticate with the account you want to work in. You can always ask which account your are in and have acccess to.
Run the MCP server on your own machine. Useful for offline / airgapped environments and for development.
Prefer the [Remote MCP](#remote-mcp-hosted--recommended) section above unless you have a specific reason to install locally (airgapped, custom build, development on this repo). The remote endpoint requires no install and stays current automatically.
For multi-org users, the remote endpoint also exposes tenant management tools (list_tenants, switch_tenant).
export OKAREO_API_KEY="your-api-key"
Add this to your ~/.zshrc or ~/.bash_profile for persistence.
Add to .mcp.json:
{
"mcpServers": { "okareo": { "command": "uvx", "args": ["okareo-mcp"], "env": { "OKAREO_API_KEY": "${OKAREO_API_KEY}" } } } }
No pre-install needed — uvx handles it automatically.
Add to .cursor/mcp.json:
{
"mcpServers": { "okareo": { "command": "uvx", "args": ["okareo-mcp"] } } }
Cursor inherits OKAREO_API_KEY from your shell environment.
If you don't have uv installed:
pip install okareo-mcp
Then use "command": "okareo-mcp" instead of "command": "uvx" with "args": ["okareo-mcp"].
| Variable | Default | Description |
|---|---|---|
OKAREO_API_KEY | *(required)* | Your Okareo API key |
OKAREO_BASE_URL | https://api.okareo.com | Override for on-prem Okareo backend |
TRANSPORT | stdio | Transport: stdio (local) or sse (Docker) |
PORT | 8000 | Port for SSE transport |
| Tool | Description |
|---|---|
save_scenario | Save a named scenario from rows of input/result data (idempotent) |
list_scenarios | List all scenarios in the project with names, IDs, and row counts |
get_scenario | Retrieve a scenario's metadata and all data rows by name or ID |
create_scenario_version | Create a new version of an existing scenario with updated data |
preview_delete_scenario | Preview what will be deleted before removing a scenario |
delete_scenario | Permanently delete a scenario and all related test data |
| Tool | Description |
|---|---|
list_available_llms | Browse available LLMs from the Okareo registry |
register_generation_model | Register a generation model for testing by selecting an LLM from the registry |
list_generation_models | List all registered generation models in the project |
get_generation_model | Read detailed information about a registered generation model |
update_generation_model | Change the LLM a registered generation model points to |
delete_generation_model | Remove a registered generation model and all its related test data |
| Tool | Description |
|---|---|
list_checks | List available quality checks (built-in and custom) for evaluating model outputs |
run_test | Run a quality test that evaluates a model against a scenario using specified checks |
list_test_runs | Find past test runs, most recent first. detail_level="summary" (default) or "detailed" for aggregate metrics |
get_test_run_results | Load 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_transcript | Retrieve the full conversation transcript for a single data point |
reevaluate_test_run | Re-score a completed test run against a (possibly different) set of checks |
create_or_update_check | Create or update a quality check by name — model-based, code-based, or audio (upsert) |
generate_check | Generate a check from a natural-language description, then save it |
get_check | Retrieve a check's full configuration, including its prompt template or code |
delete_check | Permanently delete a check by name |
calibrate_check | Dry-run a draft check against a finished test run — per-row verdicts and the arguments the check received, saving nothing |
| Tool | Description |
|---|---|
create_or_update_target | Create or update a Target — generation model, custom endpoint, or voice (OpenAI, Deepgram, Twilio) |
get_target | Retrieve a Target's configuration by name (all types) |
list_targets | Find simulation targets (voice and custom_endpoint). Bounded to 20 by default; name_contains filters |
delete_target | Remove a simulation target and all its related test data |
create_or_update_driver | Define a simulated user persona that will interact with your target |
get_driver | Retrieve a Driver's full configuration including the persona prompt |
list_drivers | Find Driver personas. Bounded to 20 by default; name_contains filters |
list_driver_voices | Discover the voices, voice profiles, and languages available for voice drivers |
run_simulation | Run 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_simulations | List past simulation runs with optional filters (target, scenario, limit) |
| Tool | Description |
|---|---|
ingest_conversations | Submit completed voice conversations to Okareo for monitoring |
connect_voice_integration | Connect a voice provider so its traffic flows into Okareo monitoring |
list_voice_integrations | List the voice provider integrations in your project |
get_voice_integration | Retrieve a voice provider integration by ID, including its status |
update_voice_integration | Update a voice provider integration's metadata |
rotate_voice_integration_secret | Rotate a voice provider integration's secrets |
delete_voice_integration | Delete a voice provider integration by ID |
get_voice_webhook_url | Get the inbound webhook endpoint for a voice provider |
| Tool | Description |
|---|---|
list_projects | List every project you can work in — id, name, tags, archive state — with the active one marked |
select_project | Choose the project to work in for this conversation |
create_project | Create a new project |
update_project | Rename a project, or replace its tags |
archive_project | Hide a project from the project picker. Reversible; nothing is deleted |
unarchive_project | Restore an archived project to the picker |
clone_project | Copy 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.
| Tool | Description |
|---|---|
query_analytics | Query Okareo's product analytics to understand evaluation trends |
list_dashboards | List the analytics dashboards in your project |
get_dashboard | Retrieve a dashboard's full configuration by name |
save_dashboard | Create or update an analytics dashboard by name (upsert) |
reorder_dashboards | Set the display order of dashboards |
delete_dashboard | Delete a dashboard by name |
| Tool | Description |
|---|---|
list_tenants | List every Okareo organization you have access to in this MCP session |
switch_tenant | Doesn't change the active organization; returns how to reconnect and pick another one at sign-in |
| Tool | Description |
|---|---|
get_docs | Query the Okareo documentation system for conceptual or user-legible explanations |
get_templates | Retrieve prompt templates for common Okareo patterns (works offline) |
get_reps_baseline | Serve REPS agent-evaluation baseline material (scenario banks, drivers, checks, eval configs) from the latest tagged okareo-tools release |
| Symptom | Cause | Fix |
|---|---|---|
okareo-mcp: command not found | Not installed or not in PATH | Run pip install -e . (dev) or use uvx okareo-mcp (user) |
| Server exits with API key error | OKAREO_API_KEY not set | Export it: export OKAREO_API_KEY="..." |
pip install fails on Python 3.13+ | Okareo SDK requires Python <3.13 | Use Python 3.10–3.12 |
| Copilot can't connect (Docker) | Wrong URL | Ensure URL ends with /sse and port matches |
| Cursor doesn't pick up API key | Cursor launched from Dock, not terminal | Launch Cursor from terminal: cursor . |
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.
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.