RMCP.DEV
← algenta.ai

INDIVIDUAL MCP TOOL

create_api_key

Create a new API key and return its one-time raw_key value.

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 create_api_key and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

  • A tool name or description contains a write-action term.
  • A tool name, description or schema mentions credentials.

Parent server

algenta.ai

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.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.

Related tools

  • 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.