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iranti

iranti

Local
github.com/nfemmanuelMemory & Knowledge5Updated 17w ago
Repository

About iranti

Persistent, shared memory for AI agents — facts, checkpoints, semantic search

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "nfemmanuel-iranti": {
      "command": "npx",
      "args": [
        "-y",
        "iranti"
      ],
      "env": {
        "DATABASE_URL": "<DATABASE_URL>",
        "IRANTI_API_KEY": "<IRANTI_API_KEY>",
        "IRANTI_URL": "<IRANTI_URL>"
      }
    }
  }
}
Run commandnpx -y iranti
Environment variables to set
DATABASE_URLPostgreSQL connection string for the Iranti database.
IRANTI_API_KEYSecretAPI key for a remote Iranti instance (e.g. iranti.cloud).
IRANTI_URLBase URL of the Iranti API server (e.g. https://<slug>.iranti.cloud).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmiranti0.3.35

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.