INDIVIDUAL MCP TOOL

get_me

Get current user and organization identity for the active API key.

algenta.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.algenta.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_me and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: algenta-mcp
Remote MCP URL: https://api.algenta.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": {
    "algenta-mcp": {
      "url": "https://api.algenta.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

onboard_dataset — Register a dataset for semantic querying.
list_datasets — List registered datasets and their current model tier.
get_dataset_status — Get live training status and model tier for a specific dataset.
retrain_dataset — Re-trigger semantic training for a dataset.
connect_data — High-level data onboarding flow.
list_data — List visible datasets for the current user.
get_data_summary — Get the low-token dataset selection summary for a saved dataset_id.
get_data_schema — Get a saved dataset plus its schema and relationship metadata by dataset_id.