Sutra
Provides LLMs with cognitive tools (Thinking Models), memory structures (Cells), and multi-agent patterns (Organs) for advanced reasoning, memory management, and orchestration. Automatically routes requests to appropriate strategies and generates custom agent blueprints.
README
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.
<details> <summary>Claude Desktop</summary>
Add to claude_desktop_config.json:
{
"mcpServers": {
"sutra": {
"command": "uv",
"args": ["tool", "run", "context-engineering-mcp"]
}
}
}
</details>
<details> <summary>Claude Code</summary>
Run this in your terminal:
claude mcp add sutra uv tool run context-engineering-mcp
</details>
<details> <summary>Aider</summary>
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"]
</details>
<details> <summary>Gemini CLI</summary>
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"sutra": {
"command": "uv",
"args": ["tool", "run", "context-engineering-mcp"]
}
}
}
</details>
<details> <summary>Cursor / Windsurf</summary>
In MCP settings, add a new server:
- Name: Sutra
- Type: command
- Command:
uv tool run context-engineering-mcp</details>
<details> <summary>Codex</summary>
Add to your config (TOML):
[mcp_servers.sutra]
command = "uv"
args = ["tool", "run", "context-engineering-mcp"]
</details>
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).
- Clone the repo:
git clone https://github.com/4rgon4ut/sutra.git cd sutra - Install dependencies:
uv sync --all-extras # OR pip install -e ".[dev]" - Run tests:
pytest
License
MIT
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