Okareo

com.okareo由 okareo.com 發布官方發布者v0.0.57更新於 Oct 27, 2026

Simulation, evaluation and monitoring for voice agents.

已驗證Streamable HTTP可網頁執行安全與監控資料與分析AI 與機器學習

概覽

AI 產生的概覽

Okareo 把語音代理的模擬、評估與監控平台以 MCP 工具形式提供,讓助理能建立情境、執行測試與模擬並檢視結果。

可以做什麼
  • 建立、版本化、檢視與刪除以輸入/結果列組成的情境
  • 註冊與管理生成模型及模擬目標,包含語音目標
  • 執行品質測試與多輪模擬,讀取執行摘要、逐項檢查結果與對話紀錄
  • 建立、產生、校準與刪除品質檢查
  • 管理語音供應商整合,並提交已完成的語音對話以供監控
  • 管理專案與租戶,查詢分析資料,儲存或調整儀表板順序
適用情境
適合在建置或維護語音、LLM 代理時,直接在編輯器中進行評估:撰寫測試情境、以人物設定執行模擬、用檢查項目為輸出評分並追蹤結果變化。也適合在 Okareo 中監控線上語音流量的團隊。
執行需求
遠端端點 tools.okareo.com,使用 streamable HTTP,首次連線透過瀏覽器 OAuth 登入;較舊或無介面的用戶端可改用 Okareo API 金鑰作為 Authorization bearer 標頭(OKAREO_API_KEY)。需要 Okareo 帳號。可選的本機安裝透過 uvx 或 pip,需 Python 3.10-3.12 並設定 OKAREO_API_KEY。
安裝前請注意
需要 Okareo 帳號;使用 bearer 備援方式時需提供可存取你專案與資料的 API 金鑰,建議以環境變數而非明文寫入設定。許多工具會寫入或刪除:情境、檢查項目、模型、目標、人物設定、儀表板與語音整合都可能被永久刪除,執行測試與模擬會消耗 Okareo 用量。輪替語音整合密鑰會改變語音供應商使用的憑證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Okareo,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.okareo%2Fokareo/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

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

README

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):

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:

json
{  "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 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

bash
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:

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:

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:

bash
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.

來源:README.md,提交 f564678

工具

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版本歷史

7
  1. v0.0.57最新Oct 15, 2026
  2. vpublic-0.0.56Oct 14, 2026
  3. vpublic-0.0.55Oct 6, 2026
  4. vpublic-0.0.53Oct 5, 2026
  5. vpublic-0.0.52Sep 24, 2026
  6. vpublic-0.0.51Sep 23, 2026
  7. vpublic-0.0.50Sep 16, 2026

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