Multi-tâche MCP Server pour VSCode/Cursor, CLI, agents autonomes. Optimisation code IA + tests + extensible. - Transports: Stdio (VSCode), subprocess, HTTP (futur) - Use Cases: VSCode chat, agent loops, CI/CD, remote servers - Sécurité: Env vars, sandbox exec
AI Optimizer MCP 🧠🔧 - Multi-Task MCP Server
Développer par Barack Ndenga ♥️
Détails
Multi-tâche MCP Server pour VSCode/Cursor, CLI, agents autonomes. Optimisation code IA + tests + extensible.
- Transports: Stdio (VSCode), subprocess, HTTP (futur)
- Use Cases: VSCode chat, agent loops, CI/CD, remote servers
- Sécurité: Env vars, sandbox exec
Manifeste (Multi-Task Capabilities)
- 🛠️ 3+ Tools: Code test/optimize/objective (+extensibles)
- 🔌 VSCode/Cursor: mcp.json natif
- 🖥️ CLI Standalone:
ai-optimizer-mcp run - 🤖 Agents: examples/agent.py loop
- ⚙️ Multi-Env: Local/dev/prod via .env
- 📊 Memory/History: JSON persistent
- 🔄 Boucles Itératives: Auto-improve
Configuration Multi-Plateforme
1. VSCode/Cursor (Recommandé)
Fichier .vscode/mcp.json (multi-servers):
{
"servers": {
"ai-optimizer": {
"command": "python",
"args": ["-m", "ai_optimizer_mcp.server"]
},
"ai-optimizer-dev": {
"command": "python",
"args": ["-m", "ai_optimizer_mcp.cli", "run", "--dev"]
}
}
}
Multi-task: Switch servers en chat!
2. CLI / Scripts / Agents
ai-optimizer-mcp run # Stdio server (pipes)
ai-optimizer-mcp run --dev # Debug
ai-optimizer-mcp --install-mcp # Print mcp.json
3. Agents Autonomes / Subprocess
# examples/agent.py
import asyncio
from mcp.client.stdio import stdio_client
async def agent_loop():
async with stdio_client(command=["python", "-m", "ai_optimizer_mcp.server"]) as client:
# Multi-task calls
score = await client.call_tool("run_tests", {"code_snippet": code})
improved = await client.call_tool("generate_improvement", {"code": code, "test_result": score})
Prérequis (.env)
cp .env.example .env
# OPENAI_API_KEY=sk-...
# OBJECTIVE="Your custom goal"
Usage Multi-Tâche
- VSCode Chat:
use_mcp_tool("ai-optimizer", "run_tests", ...) - CLI Pipe:
echo code | ai-optimizer-mcp run - Agent Loop:
python examples/agent.py - CI/CD: Subprocess dans GitHub Actions/Jenkins
Exemple Réponse Tool:
run_tests → "Tests passed: score=4/4 (f(2)=4)"
generate_improvement → "def f(x): return 2 * x"
Troubleshooting Multi-Env
- VSCode: Reload window après mcp.json
- No API Key: ValueError → Check .env
- Timeout:
TEST_TIMEOUT=10in .env - Memory:
rm memory.json - Logs:
--devouLOG_LEVEL=DEBUG
Développement
pip install -e .[dev]
pre-commit install
pytest
Tools MCP (Extensibles)
| Tool | Args | Use Case |
|--------------------------|---------------------------|---------------------------|
| run_tests | code_snippet: str | VSCode/CLI test code |
| generate_improvement | code, test_result | Auto-optimize |
| get_objective | - | Read goal any context |
Apache 2.0 - Multi-task ready! VSCode, CLI, Agents, CI. Contribute!