Learning Resources

rerato.ai

Creates AI-generated voice experiences such as quizzes and training modules from content sources.

1 endpoint12 known toolsFirst detected July 13, 2026Last detected August 19, 2026

ENDPOINT 1

https://rerato.ai/mcp

No auth detected

MCP server metadata

Name: rerato-mcp
Version: 0.1.0

Capabilities

toolsexperimental.rerato.openapi_urlexperimental.rerato.agents_json_url

Server instructions

You are interacting with Rerato — a voice-AI primitive. Typical agent flow: rerato_get_me → rerato_create_source → rerato_create_host → rerato_create_experience → rerato_generate_experience → rerato_publish_experience → rerato_create_session → rerato_complete_session → rerato_get_results. The platform API is in private beta: tool calls return COMING_SOON until access opens — surface this as 'pilot access required' (email info@rerato.com) to the user, not as a retry candidate.

Known tools 12

rerato_get_me

Returns the authenticated context (organization, project, scopes) for the current API key.

Inferred read-only

rerato_create_source

Inferred read-only

rerato_create_host

Create a voice-AI host preset (voice, personality, language).

Potential side effects

rerato_create_experience

Create a voiced experience (quiz, lesson, training module) referencing a source and host.

Potential side effects

rerato_generate_experience

Run the LLM + voice generation pipeline on a draft experience.

Inferred read-only

rerato_publish_experience

Publish a generated experience so users can play it.

Potential side effects

rerato_create_session

Start a session for a player on a published experience.

Inferred read-only

rerato_record_session_event

Append a runtime event (answer.submitted, audio.played, etc.) to a session.

Inferred read-only

rerato_complete_session

Mark a session complete and produce the result row.

Inferred read-only

rerato_get_results

Read the result row for a completed session.

Inferred read-only

rerato_subscribe_webhook

Inferred read-only

rerato_list_experiences

List experiences in the current project.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rerato-mcp]
url = "https://rerato.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "rerato-mcp": {
      "type": "http",
      "url": "https://rerato.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: rerato-mcp
Remote MCP URL: https://rerato.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rerato-mcp": {
      "url": "https://rerato.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "rerato-mcp": {
      "type": "http",
      "url": "https://rerato.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "rerato-mcp",
  "transport": "streamable-http",
  "url": "https://rerato.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for rerato.ai was fetched 2026-09-06T22:30:21.784Z.

Trust status Neutral

rerato.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.