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sutra

A specialized engine for context engineering that provides a library of cognitive thinking models, memory structures, and multi-agent orchestration patterns.

Tools
10
Updated
Jan 3, 2026
Validated
Jan 9, 2026

Quick Install

uvx context-engineering-mcp

Sutra

mcp-name: io.github.4rgon4ut/sutra

The MCP Context Engineering Engine

Sutra is a Model Context Protocol (MCP) server that transforms how LLMs handle reasoning, memory, and orchestration. It provides a "Standard Library" of cognitive tools (Thinking Models), memory structures (Cells), and multi-agent patterns (Organs).

Installation

Using uv (Recommended)

uv tool install context-engineering-mcp

Using pip

pip install context-engineering-mcp

Configuration

Select your agent below and copy-paste the config.

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "sutra": {
      "command": "uv",
      "args": ["tool", "run", "context-engineering-mcp"]
    }
  }
}
Claude Code

Run this in your terminal:

claude mcp add sutra uv tool run context-engineering-mcp
Aider

Run aider with the mcp flag:

aider --mcp "uv tool run context-engineering-mcp"

Or add to .aider.conf.yml:

mcp: ["uv tool run context-engineering-mcp"]
Gemini CLI

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "sutra": {
      "command": "uv",
      "args": ["tool", "run", "context-engineering-mcp"]
    }
  }
}
Cursor / Windsurf

In MCP settings, add a new server:

  • Name: Sutra
  • Type: command
  • Command: uv tool run context-engineering-mcp
Codex

Add to your config (TOML):

[mcp_servers.sutra]
command = "uv"
args = ["tool", "run", "context-engineering-mcp"]

Core Features (v0.1.0)

1. The Gateway (Router)

Sutra automatically analyzes your request to decide the best strategy:

  • YOLO Mode: For immediate tasks ("Fix this bug"), it routes to specific cognitive tools.
  • Constructor Mode: For system design ("Build a bot"), it routes to the Architect.

2. The Architect

Generates blueprints for custom agents, combining:

  • Thinking Models: understand_question, verify_logic, backtracking, symbolic_abstract.
  • Memory Cells: key_value (State), windowed (Short-term), episodic (Long-term).
  • Organs: debate_council (Multi-perspective), research_synthesis (Deep Dive).

3. The Librarian

A manual discovery tool (get_technique_guide) that lets you or the agent browse the full catalog of Context Engineering techniques.

Development

Requirements: Python 3.10+, uv (optional but recommended).

  1. Clone the repo:
    git clone https://github.com/4rgon4ut/sutra.git
    cd sutra
    
  2. Install dependencies:
    uv sync --all-extras
    # OR
    pip install -e ".[dev]"
    
  3. Run tests:
    pytest
    

License

MIT

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