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AI context synchronization and propagation between dev environments

Project description

Conciliate - Unified context for smarter AI decisions

MIT License PyPI version

Unified context for smarter AI decisions.

Conciliate automatically extracts API specifications from your backend, detects changes, and streams context to AI coding assistants in real-time. Keep your AI in sync across separate IDE sessions—no more manual copy-pasting.

Features

  • Auto-extraction: Monitors backend files, generates OpenAPI specs automatically
  • Live updates: Real-time synchronization via MCP protocol
  • Three access modes: MCP server, REST API, CLI, VS Code extension
  • Framework support: FastAPI, Flask, Express (auto-detected)
  • AI-native: Built for Claude Desktop, Cursor, VS Code Copilot
  • Local-first: No cloud dependencies, runs entirely on your machine

Quick Start

Python Package

pip install conciliate

Setup

cd /path/to/your/project
conciliate init
# Edit .conciliate.yaml to set backend_path

Run

conciliate mcp      # For AI assistants (recommended)
conciliate watch    # REST API + file watching
conciliate serve    # REST API only

CLI Commands

Command Description
conciliate init Create config file
conciliate watch Watch backend + serve REST API
conciliate mcp Run MCP server for AI assistants
conciliate summary Display API summary
conciliate diff Show recent changes
conciliate status Show configuration

Configuration

Create .conciliate.yaml in your project root:

backend_path: ../backend    # Path to your backend
framework: auto             # Backend framework (auto, fastapi, flask, express)
port: 5678                  # Server port
output_dir: .conciliate     # Output directory

Copy from .conciliate.yaml.template for all available options.

� MCP Integration (AI Assistants)

Claude Desktop

Edit claude_desktop_config.json:

{
  "mcpServers": {
    "conciliate": {
      "command": "conciliate",
      "args": ["mcp"],
      "cwd": "C:\\path\\to\\your\\project"
    }
  }
}

VS Code

Create .vscode/mcp.json:

{
  "servers": {
    "conciliate": {
      "command": "conciliate",
      "args": ["mcp"],
      "cwd": "${workspaceFolder}"
    }
  }
}

Then: Restart your AI assistant → Ask: "What API endpoints are available?"

Features

  • 📚 Resources: Full spec, summaries, diffs
  • 🛠️ Tools: Reload, search, get endpoint details
  • Live Updates: Auto-detects backend changes, no manual reload
  • 🎯 Cross-session: Keep frontend/backend AI assistants synchronized

Full guide: docs/MCP_INTEGRATION.md

📡 REST API

When running conciliate watch or conciliate serve:

Endpoint Description
GET /spec Full OpenAPI specification
GET /summary Human-readable summary
GET /diff Latest changes
POST /reload Trigger spec regeneration

🧪 Example

# Start example backend
cd example/backend && python main.py

# In another terminal
cd ../.. && conciliate init
# Edit .conciliate.yaml: backend_path: ./example/backend

conciliate watch
# Visit http://localhost:5678/summary

Troubleshooting

Issue Solution
"Failed to generate spec" Check backend_path in config, verify app file exists
"No .conciliate.yaml found" Run conciliate init in your project directory
MCP not connecting Restart AI assistant, verify cwd path in config
Framework not detected Set framework explicitly in .conciliate.yaml
Extension not starting Install Python package: pip install conciliate
Changes view empty Wait 3 seconds for auto-refresh, or modify an endpoint

See full troubleshooting guide in docs/.

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