بروتوكول MCP

# MCP server architecture (from sx_tools.c)

stdin  ──▶  JSON-RPC parser  ──▶  tool dispatcher  ──▶  result  ──▶  stdout

# All tools compiled into single static binary
# Source: scorpiox/libsxutil/sx_tools.c
# Zero runtime dependencies — no Node.js, no Python, no JVM

# Transport: stdio (stdin/stdout)
# Framing: newline-delimited JSON-RPC 2.0
# Each message is a single JSON object terminated by \n

# Client sends request →
{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}

# Server responds ←
{"jsonrpc": "2.0", "id": 1, "result": {"tools": [...]}}

# Step 1: Client sends initialize request
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {
  "protocolVersion": "2024-11-05",
  "capabilities": {},
  "clientInfo": {"name": "claude-ai", "version": "1.0"}
}}

# Step 2: Server responds with capabilities
{"jsonrpc": "2.0", "id": 1, "result": {
  "protocolVersion": "2024-11-05",
  "capabilities": {"tools": {}},
  "serverInfo": {"name": "scorpiox-code", "version": "1.0.0"}
}}

# Step 3: Client sends initialized notification
{"jsonrpc": "2.0", "method": "notifications/initialized", "params": {}}

# Example: calling the Bash tool
{"jsonrpc": "2.0", "id": 42, "method": "tools/call", "params": {
  "name": "Bash",
  "arguments": {"command": "ls -la /tmp", "timeout": 5000}
}}

# Server response
{"jsonrpc": "2.0", "id": 42, "result": {
  "content": [{"type": "text", "text": "total 48\ndrwxrwxrwt 12 root root ..."}],
  "isError": false
}}

# scorpiox-env.txt — MCP-related settings

TOOLS=true                  # Enable MCP tool serving (default: true)
STREAMING=true              # Stream tool results as they arrive
MODEL=sonnet                # AI model for tool-use conversations

# The MCP server binary path is auto-detected:
# Linux:   ~/.scorpiox/scorpiox-code
# macOS:   ~/.scorpiox/scorpiox-code
# Windows: %USERPROFILE%\.scorpiox\scorpiox-code.exe

# Client config (e.g., Claude Desktop mcp_servers.json):
# {"scorpiox": {"command": "~/.scorpiox/scorpiox-code", "args": []}}