Sutra

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Summary

This is a cognitive toolkit that gives Claude structured reasoning patterns and memory primitives. Instead of just prompting differently, you get actual tools: thinking models like backtracking and symbolic abstraction, memory cells for state and episodic storage, and multi-agent patterns like debate councils. The Gateway tool routes requests to either direct execution or the Architect, which generates custom agent blueprints by combining these primitives. The Librarian exposes a browsable catalog of all available techniques. Useful when you need more than conversation history, like maintaining state across sessions, enforcing verification steps, or orchestrating multiple reasoning perspectives on complex problems.

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create and run specialised agents in minutes

build now →

MCP-ready Email Sending

Plug Mailtrap into your AI workflow and let it handle the email.

Connect Mailtrap MCP →

Make your agent a DeFi expert

Agent, run crypto. Access onchain data & trade routes via 1inch.

Install now →

Capacitor - Shared memory for your team’s coding agents.

Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.

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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.

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belt - the only tool your agent needs

belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...

one prompt install →

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).

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

Featured

CodeRabbit

AI writes the code. CodeRabbit catches the slop.

Try For Free →

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create and run specialised agents in minutes

build now →

MCP-ready Email Sending

Plug Mailtrap into your AI workflow and let it handle the email.

Connect Mailtrap MCP →

Make your agent a DeFi expert

Agent, run crypto. Access onchain data & trade routes via 1inch.

Install now →

Capacitor - Shared memory for your team’s coding agents.

Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.

Try For Free →

CodeScene MCP Server

Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.

Try For Free →

Give your AI the whole web as clean markdown

Integrate web data into your AI product. One API to scrape website & brand data.

Get API Key Now →

belt - the only tool your agent needs

belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...

one prompt install →

Sutra

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

The MCP Context Engineering Engine

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).

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

Sutra

Sutra

Installation

Using `uv` (Recommended)

Using `pip`

Configuration

Core Features (v0.1.0)

1. The Gateway (Router)

2. The Architect

3. The Librarian

Development

License

Sutra

Sutra

Installation

Using `uv` (Recommended)

Using `pip`

Configuration

Core Features (v0.1.0)

1. The Gateway (Router)

2. The Architect

3. The Librarian

Development

License

Related AI & LLM Tools MCP Servers

Related AI & LLM Tools MCP Servers

Sutra

Sutra

Installation

Using uv (Recommended)

Using pip

Configuration

Core Features (v0.1.0)

1. The Gateway (Router)

2. The Architect

3. The Librarian

Development

License

Sutra

Sutra

Installation

Using uv (Recommended)

Using pip

Configuration

Core Features (v0.1.0)

1. The Gateway (Router)

2. The Architect

3. The Librarian

Development

License

Related AI & LLM Tools MCP Servers

Related AI & LLM Tools MCP Servers

Using `uv` (Recommended)

Using `pip`

Using `uv` (Recommended)

Using `pip`