Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
{
"mcpServers": {
"io-github-4rgon4ut-sutra": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
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Last commit 95 days ago.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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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).
uv (Recommended)uv tool install context-engineering-mcp
pippip install context-engineering-mcp
Select your agent below and copy-paste the config.
Add to claude_desktop_config.json:
{
"mcpServers": {
"sutra": {
"command": "uv",
"args": ["tool", "run", "context-engineering-mcp"]
}
}
}
Run this in your terminal:
claude mcp add sutra uv tool run context-engineering-mcp
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"]
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"sutra": {
"command": "uv",
"args": ["tool", "run", "context-engineering-mcp"]
}
}
}
In MCP settings, add a new server:
uv tool run context-engineering-mcpAdd to your config (TOML):
[mcp_servers.sutra]
command = "uv"
args = ["tool", "run", "context-engineering-mcp"]
Sutra automatically analyzes your request to decide the best strategy:
Generates blueprints for custom agents, combining:
understand_question, verify_logic, backtracking, symbolic_abstract.key_value (State), windowed (Short-term), episodic (Long-term).debate_council (Multi-perspective), research_synthesis (Deep Dive).A manual discovery tool (get_technique_guide) that lets you or the agent browse the full catalog of Context Engineering techniques.
Requirements: Python 3.10+, uv (optional but recommended).
git clone https://github.com/4rgon4ut/sutra.git
cd sutra
uv sync --all-extras
# OR
pip install -e ".[dev]"
pytest
MIT