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Control via MCP

Control almyty via MCP

almyty is itself an MCP server. Point any MCP client — Claude Code, Cursor, Claude Desktop — at the platform endpoint and your AI assistant can operate almyty for you: import APIs, generate tools, build agents, set up gateways, and manage memory — the same actions you’d take in the dashboard, driven from your editor.

This is different from publishing your own tools on an MCP gateway: there, an LLM calls your API tools. Here, the LLM calls almyty’s own management tools to configure the platform.

Connect

Add the universal /mcp endpoint (the built-in almyty system gateway):

claude mcp add almyty --transport http https://api.almyty.com/mcp

Or in a client config file:

{
  "mcpServers": {
    "almyty": { "url": "https://api.almyty.com/mcp" }
  }
}

Authenticate once with npx @almyty/auth login; the server announces itself as almyty.

What your assistant can do

The control endpoint exposes 30 management tools:

AreaTools
APIscreate_api, list_apis, update_api, delete_api, import_schema, check_import_status
Toolslist_tools, delete_tool
Gatewayscreate_gateway, list_gateways, delete_gateway, assign_tools_to_gateway, add_auth_to_gateway, remove_auth_from_gateway
Agentscreate_agent, list_agents
AI Modelsadd_provider, list_providers
Memorymemory_put, memory_get, memory_list, memory_search, memory_delete, memory_supersede, memory_consolidate, memory_sync, memory_transfer, memory_list_backends, memory_backends_health

Example

Ask your assistant, in plain language:

> Import the Stripe OpenAPI spec, then publish an MCP gateway with just the refund tools.

It chains the management tools: import_schema → check_import_status → list_tools → create_gateway → assign_tools_to_gateway → add_auth_to_gateway — and hands you back a ready endpoint, without you touching the UI.

What’s not exposed

The control set is deliberately build-and-configure, not run-and-mutate:

  • No run_agent — invoke an agent through its own endpoint (https://api.almyty.com/{org}/{agent}), not the control plane.
  • No update_agent / update_gateway — edit an existing agent or gateway in the dashboard or via the REST API. The MCP tools create and wire; deeper edits stay in the UI so a stray model call can’t silently rewrite a production agent.
Compliance PackCLI Tools