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SEED

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SEED provides a unified interface to compound AI systems, coordinating between various tools and frameworks to present a single coherent voice.

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About

SEED provides a unified interface to compound AI systems, coordinating between various tools and frameworks to present a single coherent voice.

README

Part of STARSYSTEM

SEED MCP

SEED - Unified System Identity for Compound Intelligence

What It Does

SEED provides a unified interface to compound AI systems. Instead of users juggling multiple tools and frameworks, SEED presents one coherent voice that coordinates everything behind the scenes.

Current Features

  • who_am_i(context="") - Returns unified system identity with optional context

Installation

pip install .

Usage

As an MCP server, SEED integrates with Claude Code and other MCP clients to provide unified system awareness.

Architecture

SEED coordinates between:

  • STARLOG (project workflows)
  • HEAVEN Framework (agent orchestration)
  • GIINT (multi-fire intelligence)
  • Carton (knowledge management)
  • PayloadDiscovery (structured sequences)

The goal: Complex internally, simple externally. Many minds, one voice.

from github.com/sancovp/seed-mcp

Install SEED in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install seed-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add seed-mcp -- uvx seed-mcp

FAQ

Is SEED MCP free?

Yes, SEED MCP is free — one-click install via Unyly at no cost.

Does SEED need an API key?

No, SEED runs without API keys or environment variables.

Is SEED hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install SEED in Claude Desktop, Claude Code or Cursor?

Open SEED on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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