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MCP-based contextual flag system for AI assistants

Project description

Context Engine MCP

Claude Code Gemini CLI Continue

Context Engine provides 17 contextual flags that guide assistant behavior (e.g., --strict, --auto). It exposes an MCP stdio server and small setup helpers for common clients.

Quick Start

# Install (recommended)
pipx install context-engine-mcp

# For Claude Code
context-engine install

# For Continue 
context-engine install --target cn

Then in your client/assistant, use prompts with flags:

  • "Fix this bug --auto" (auto-select flags)
  • "--save" (handoff documentation)
  • "Analyze --strict" (precise, zero-tolerance mode)

17 Flags

Flag Purpose
--analyze Multi-angle systematic analysis
--auto AI selects optimal flag combination
--concise Minimal communication
--explain Progressive disclosure
--git Version control best practices
--lean Essential focus only
--load Load handoff documentation
--parallel Multi-agent processing
--performance Speed and efficiency optimization
--readonly Analysis only mode
--refactor Code quality improvement
--research Technology investigation
--reset Reset session flag state
--save Handoff documentation
--seq Sequential thinking
--strict Zero-error enforcement
--todo Task management

Installation

Claude Code

# Install package
pipx install context-engine-mcp

# Install configuration files
context-engine install

Register the MCP server with Claude CLI:

# Choose ONE of these commands:

# Standard Python installation
claude mcp add -s user -- context-engine context-engine-mcp

# UV installation  
claude mcp add -s user -- context-engine uv run context-engine-mcp

# Custom command
claude mcp add -s user -- context-engine <your-command>

This also writes ~/.claude/CONTEXT-ENGINE.md and appends a reference to ~/.claude/CLAUDE.md.

Continue Extension

# Install package
pipx install context-engine-mcp

# Install configuration files
context-engine install --target cn

Edit ~/.continue/mcpServers/context-engine.yaml and uncomment ONE option:

# Option 1: Standard Python (most common)
name: Context Engine MCP
command: context-engine-mcp

# Option 2: UV installation  
# name: Context Engine MCP
# command: uv
# args: ["run", "context-engine-mcp"]

# Option 3: Custom installation
# name: Context Engine MCP  
# command: <your-custom-command>

Restart VS Code, then type @ in Continue chat to access MCP tools.

Gemini CLI

# Install package
pipx install context-engine-mcp

# Install configuration files for Gemini CLI
context-engine install --target gemini-cli

This command:

  • Appends @CONTEXT-ENGINE.md to ~/.gemini/GEMINI.md (adds once; no duplicate)
  • Writes latest instructions to ~/.gemini/CONTEXT-ENGINE.md

It does not modify ~/.gemini/settings.json. If required, register the MCP stdio command in Gemini CLI settings:

  • Command: context-engine-mcp
  • Args: []
  • Transport: stdio

MCP registration (example)

  • File: ~/.gemini/settings.json
  • Add or merge this into the mcpServers section:
{
  "mcpServers": {
    "context-engine": {
      "type": "stdio",
      "command": "context-engine-mcp",
      "args": [],
      "env": {}
    }
  }
}

Gemini CLI settings

  • Location: ~/.gemini/settings.json
  • Structure:
{
  "mcpServers": {
    "<server-name>": {
      "type": "stdio",
      "command": "<executable or interpreter>",
      "args": ["<arg1>", "<arg2>", "..."],
      "env": { "ENV_KEY": "value" }
    }
  }
}

Common setups

  • pipx (PATH):
{
  "mcpServers": {
    "context-engine": {
      "type": "stdio",
      "command": "context-engine-mcp",
      "args": [],
      "env": {}
    }
  }
}
  • uv (run):
{
  "mcpServers": {
    "context-engine": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "context-engine-mcp"],
      "env": {}
    }
  }
}
  • venv absolute path (Windows):
{
  "mcpServers": {
    "context-engine": {
      "type": "stdio",
      "command": "C:\\path\\to\\venv\\Scripts\\context-engine.exe",
      "args": [],
      "env": {}
    }
  }
}
  • venv with interpreter (module run):
{
  "mcpServers": {
    "context-engine": {
      "type": "stdio",
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "context_engine_mcp"],
      "env": {}
    }
  }
}

Notes

  • type is stdio.
  • If the command is not on PATH, use an absolute path (escape backslashes on Windows).
  • After editing, restart Gemini CLI and verify tools (e.g., list_available_flags).

Usage

In Chat

# Auto mode - AI selects flags
"Refactor this code --auto"

# Direct flags
"--save"  # Creates handoff doc
"--analyze --strict"  # Multi-angle analysis with zero errors
"--reset --analyze"  # Reset session and reapply

# Combined flags
"Review this --analyze --strict --seq"

MCP Tools

  • list_available_flags() - Shows all 17 flags
  • get_directives(['--flag1', '--flag2']) - Activates flags

Development: use pip install -e . for editable installs.

Configuration updates: edit ~/.context-engine/flags.yaml and restart the MCP server.

Optional MCP Servers

Additional MCP servers can complement certain flags:

For --research flag:

# Documentation and examples server
claude mcp add -s user -- context7 npx -y @upstash/context7-mcp

For --seq flag:

# Sequential thinking server  
claude mcp add -s user -- sequential-thinking npx -y @modelcontextprotocol/server-sequential-thinking

These are optional; Context Engine works without them.

Session

  • Duplicate flags produce a brief reminder instead of repeating full directives.
  • Use --reset when the task/context changes.
  • The server tracks active flags per session.

--auto

--auto instructs the assistant to analyze the task and pick appropriate flags (do not include --auto in get_directives calls).

Behavior

  • --auto only: the assistant selects a full set of flags automatically.
  • --auto --flag1 --flag2: the assistant applies --flag1, --flag2 and may add additional flags if helpful. User‑specified flags take priority when there is overlap or conflict.
  • --flag1 --flag2 (without --auto): only the specified flags are applied.

Files Created

~/.claude/
├── CLAUDE.md           # References @CONTEXT-ENGINE.md
└── CONTEXT-ENGINE.md   # Flag instructions (auto-updated)

~/.continue/
├── config.yaml         # Contains Context Engine rules
└── mcpServers/
    ├── context-engine.yaml
    ├── sequential-thinking.yaml
    └── context7.yaml

~/.context-engine/
└── flags.yaml          # Flag definitions

~/.gemini/
├── GEMINI.md           # References @CONTEXT-ENGINE.md
└── CONTEXT-ENGINE.md   # Flag instructions (auto-updated)

Uninstallation

# Complete uninstall from all environments (Claude Code + Continue)
context-engine uninstall

# Remove Python package
pipx uninstall context-engine-mcp

Note: During uninstallation, ~/.context-engine/flags.yaml is backed up to ~/flags.yaml.backup_YYYYMMDD_HHMMSS before removal. During installation, existing flags.yaml is backed up and updated to the latest version.

Claude Code note: Uninstall removes the reference in ~/.claude/CLAUDE.md and deletes ~/.claude/CONTEXT-ENGINE.md if present.

Gemini CLI note: Uninstall also removes the reference in ~/.gemini/GEMINI.md and deletes ~/.gemini/CONTEXT-ENGINE.md if present.

Continue note: Uninstall removes the Context Engine rules from ~/.continue/config.yaml (when present) and deletes ~/.continue/mcpServers/context-engine.yaml if present.

License

MIT

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