AI Agents & MCP

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# MCP: Model Context Protocol — the standard for AI tool use npm install -g @modelcontextprotocol/cli npx @modelcontextprotocol/inspector cat ~/.config/claude/claude_desktop_config.json npx -y @modelcontextprotocol/server-filesystem /home/user npx -y @modelcontextprotocol/server-github npx -y @modelcontextprotocol/server-postgres npx -y @modelcontextprotocol/server-brave-search npx -y @modelcontextprotocol/server-memory npx -y @modelcontextprotocol/server-puppeteer uvx mcp install playwright pip install mcp python -m mcp.server.stdio npm install -g @anthropic-ai/claude-code claude claude -p 'Add input validation to the login form'claude --allowedTools 'Bash,Read,Write'claude --mcp-config ~/.config/claude/mcp-servers.json cat CLAUDE.md touch CLAUDE.md claude /cost claude /clear claude /status gemini -m gemini-3.1-pro-preview-customtools gemini --mcp-server 'npx -y @modelcontextprotocol/server-github'/model gemini -p 'Analyze this codebase and suggest improvements' --yolo npm install -g @openai/codex codex codex -a full-auto 'Fix all failing tests'codex -m o4-mini 'Refactor the auth module'touch AGENTS.md pip install goose-ai goose session start goose session resume goose run --with-toolkit developer 'Set up a FastAPI project'goose configure pip install aider-chat aider aider --model gemini/gemini-3.1-pro-preview aider --model claude-sonnet-4-6 aider --model ollama/qwen2.5-coder:14b aider --auto-commits aider --no-auto-commits aider --read ARCHITECTURE.md --read CONVENTIONS.md aider --lint --test-cmd 'pytest'ollama serve ollama pull llama3.3:70b ollama pull qwen2.5-coder:7b ollama list ollama run llama3.3 'Explain how async/await works in Python'curl -s http://localhost:11434/api/generate -d '{"model":"llama3.3","prompt":"hello","stream":false}' | jq .response OLLAMA_HOST=0.0.0.0:11434 ollama serve cat AGENTS.md mkdir -p .claude && nano .claude/settings.json nano .claude/settings.json # add MCP server entry pip install anthropic pip install google-generativeai pip install openai pip install langchain langchain-community pip install langgraph pip install litellm litellm --model ollama/llama3.3 --port 8000 export ANTHROPIC_API_KEY='sk-ant-...'export OPENAI_API_KEY='sk-...'pip install python-dotenv && dotenv run -- python agent.py claude -p 'Plan the implementation' | gemini -p 'Implement the plan'gemini -p "$(cat requirements.txt)" 'Generate a Docker setup for these dependencies'watch -n 60 'claude -p "Check logs for errors: $(tail -20 app.log)"'git diff HEAD~1 | claude -p 'Review this diff for bugs and security issues'find . -name '*.py' | xargs cat | gemini -p 'Find all TODO comments and suggest implementations'docker run -it --rm -v $(pwd):/workspace claude-sandbox # Use --allowedTools to whitelist specific agent capabilities # Set ANTHROPIC_API_KEY in a project .env, add .env to .gitignore export ANTHROPIC_MAX_TOKENS=4096 litellm --logs pip install rich pip install typer pip install httpx pip install pydantic pip install instructor

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