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Okareo MCP Server

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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, or VS Code)

  • Python 3.10–3.12 (only for the local install modes; not needed for remote)


Related MCP server: vsc-mcp

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.

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}"
      }
    }
  }
}

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

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

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


Available Tools

Scenarios

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

Generation Models

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

Tests & Checks

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

List past test runs with optional filters (model, scenario, simulation-only)

get_test_run_results

Load detailed per-row results of a test run or simulation by ID or name

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

Simulations (Multi-Turn)

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

List all simulation targets (voice and custom_endpoint) in the project

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

List all Driver personas in the project

list_driver_voices

Discover the voices, voice profiles, and languages available for voice drivers

run_simulation

Run a multi-turn conversation evaluation (or rerun a previous one with overrides)

list_simulations

List past simulation runs with optional filters (target, scenario, limit)

Voice Monitoring

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

Analytics & Dashboards

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

Tenant Management (remote MCP only)

Tool

Description

list_tenants

List every Okareo organization you have access to in this MCP session

switch_tenant

Change which Okareo organization subsequent tool calls operate against

Documentation & Templates

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


Troubleshooting

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 .


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.

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