Input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent endpoint
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-ai]
url = "https://rerato.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"rerato-ai": {
"type": "http",
"url": "https://rerato.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: rerato-ai
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-ai": {
"url": "https://rerato.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"rerato-ai": {
"type": "http",
"url": "https://rerato.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "rerato-ai",
"transport": "streamable-http",
"url": "https://rerato.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
rerato_get_me— Returns the authenticated context (organization, project, scopes) for the current API key.rerato_create_source— Register a content source (URL or raw text) that an experience will be generated from.rerato_create_host— Create a voice-AI host preset (voice, personality, language).rerato_create_experience— Create a voiced experience (quiz, lesson, training module) referencing a source and host.rerato_generate_experience— Run the LLM + voice generation pipeline on a draft experience.rerato_publish_experience— Publish a generated experience so users can play it.rerato_create_session— Start a session for a player on a published experience.rerato_record_session_event— Append a runtime event (answer.submitted, audio.played, etc.) to a session.