Brummer MCP Server

# Brummer Example Configuration File # Copy this to .brum.toml in your project or home directory # Package manager preferences # preferred_package_manager = "pnpm" # MCP (Model Context Protocol) Settings # mcp_port = 7777 # no_mcp = false # Network robustness (experimental) # use_robust_networking = false # Proxy Server Settings # proxy_port = 19888 # proxy_mode = "reverse" # proxy_url = "" # standard_proxy = false # no_proxy = false # AI Coder Configuration # # Variable Replacement in CLI Arguments: # You can use ${VAR_NAME} syntax in base_args to inject dynamic values. # Brummer automatically provides these variables: # - ${BRUMMER_MCP_URL}: The full MCP server URL (e.g., http://localhost:7777/mcp) # - ${BRUMMER_MCP_PORT}: Just the port number (e.g., 7777) # - Any environment variable from your system # [ai_coders] enabled = true max_concurrent = 3 workspace_base_dir = "~/.brummer/ai-coders" default_provider = "claude" # Available: claude, opencode, gemini, terminal, local, mock timeout_minutes = 30 auto_cleanup = true cleanup_after_hours = 24 # Claude Provider Configuration [ai_coders.providers.claude] api_key_env = "ANTHROPIC_API_KEY" model = "claude-3-5-sonnet-20241022" max_tokens = 4096 temperature = 0.7 request_timeout_seconds = 30 [ai_coders.providers.claude.rate_limit] requests_per_minute = 50 tokens_per_minute = 150000 # OpenCode CLI Tool Configuration [ai_coders.providers.opencode] [ai_coders.providers.opencode.cli_tool] command = "opencode" base_args = ["run"] # Use 'run' subcommand [ai_coders.providers.opencode.cli_tool.flag_mapping] model = "--model" prompt = "--prompt" debug = "--log-level" [ai_coders.providers.opencode.cli_tool.environment] # OpenCode uses API keys from its own config # Gemini Provider Configuration [ai_coders.providers.gemini] api_key_env = "GEMINI_API_KEY" model = "gemini-1.5-pro" max_tokens = 8192 temperature = 0.7 request_timeout_seconds = 30 [ai_coders.providers.gemini.rate_limit] requests_per_minute = 15 tokens_per_minute = 1000000 # Terminal Provider Configuration (Local Shell Execution) [ai_coders.providers.terminal] model = "bash" # Available: bash, sh, zsh, fish, python, node, ruby max_tokens = 1000000 temperature = 0.0 request_timeout_seconds = 300 [ai_coders.providers.terminal.rate_limit] requests_per_minute = 30 tokens_per_minute = 1000000 # Local Model Provider (e.g., Ollama) [ai_coders.providers.local] base_url = "http://localhost:11434" model = "codellama" max_tokens = 2048 temperature = 0.7 request_timeout_seconds = 60 # Aider CLI Tool Configuration [ai_coders.providers.aider] [ai_coders.providers.aider.cli_tool] command = "aider" base_args = ["--yes"] # Auto-confirm changes working_dir = "." [ai_coders.providers.aider.cli_tool.flag_mapping] model = "--model" message = "--message" [ai_coders.providers.aider.cli_tool.environment] # Add any environment variables Aider needs # OPENAI_API_KEY = "your-key-here" # Will use existing env var # Claude CLI Tool Configuration (multiple configs possible) # Variable Replacement: Use ${VAR_NAME} in base_args for dynamic values # BRUMMER_MCP_URL and BRUMMER_MCP_PORT are automatically set by Brummer [ai_coders.providers.claude] [ai_coders.providers.claude.cli_tool] command = "claude" # The ${BRUMMER_MCP_URL} will be replaced with the actual MCP server URL at runtime base_args = ["--mcp-config", "{\"mcpServers\":{\"brummer\":{\"type\":\"http\",\"url\":\"${BRUMMER_MCP_URL}\"}}}", "--dangerously-skip-permissions"] # For rapid development model = "sonnet" # Default model [ai_coders.providers.claude.cli_tool.flag_mapping] model = "--model" output_format = "--output-format" debug = "--debug" [ai_coders.providers.claude.cli_tool.environment] # BRUMMER_MCP_URL and BRUMMER_MCP_PORT are automatically set by Brummer # Claude Secure (without dangerous permissions) [ai_coders.providers.claude-secure] [ai_coders.providers.claude-secure.cli_tool] command = "claude" base_args = ["--mcp-config", "{\"mcpServers\":{\"brummer\":{\"type\":\"http\",\"url\":\"${BRUMMER_MCP_URL}\"}}}"] # No dangerous permissions - will prompt for each action model = "sonnet" # Default model [ai_coders.providers.claude-secure.cli_tool.flag_mapping] model = "--model" output_format = "--output-format" debug = "--debug" # Claude with Opus model [ai_coders.providers.opus] [ai_coders.providers.opus.cli_tool] command = "claude" base_args = ["--mcp-config", "{\"mcpServers\":{\"brummer\":{\"type\":\"http\",\"url\":\"${BRUMMER_MCP_URL}\"}}}", "--model", "opus", "--dangerously-skip-permissions"] model = "opus" [ai_coders.providers.opus.cli_tool.flag_mapping] model = "--model" output_format = "--output-format" debug = "--debug" # Claude with Sonnet model [ai_coders.providers.sonnet] [ai_coders.providers.sonnet.cli_tool] command = "claude" base_args = ["--mcp-config", "{\"mcpServers\":{\"brummer\":{\"type\":\"http\",\"url\":\"${BRUMMER_MCP_URL}\"}}}", "--model", "sonnet", "--dangerously-skip-permissions"] model = "sonnet" [ai_coders.providers.sonnet.cli_tool.flag_mapping] model = "--model" output_format = "--output-format" debug = "--debug" # Gemini CLI Tool Configuration (if available) [ai_coders.providers.gemini-cli] [ai_coders.providers.gemini-cli.cli_tool] command = "gemini" base_args = [] [ai_coders.providers.gemini-cli.cli_tool.flag_mapping] model = "--model" prompt = "--prompt" debug = "--debug" [ai_coders.providers.gemini-cli.cli_tool.environment] # Gemini uses API keys from its own config # Mock Provider for Testing [ai_coders.providers.mock] model = "mock-model" max_tokens = 1000 temperature = 0.5 request_timeout_seconds = 5 # Resource Limits [ai_coders.resource_limits] max_memory_mb = 512 max_disk_space_mb = 1024 max_cpu_percent = 50 max_processes = 5 max_files_per_coder = 100 # Workspace Settings [ai_coders.workspace] template = "basic" gitignore_rules = ["node_modules/", ".env", "*.log", "dist/", "build/"] allowed_extensions = [".go", ".js", ".ts", ".py", ".md", ".json", ".yaml", ".toml", ".txt", ".sh"] forbidden_paths = ["/etc", "/var", "/sys", "/proc"] max_file_size_mb = 10 backup_enabled = true # AI Coder Logging [ai_coders.logging] level = "info" output_file = "ai-coders.log" rotate_size_mb = 50 keep_rotations = 5 include_ai_output = false