docs: Add OpenBao integration (no secrets required)

MCP server does not require any secrets or sensitive configuration.

Related: OpenBao Phase 4 MCP Servers Integration

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

.env.vault-mapping

@@ -0,0 +1,8 @@
+# OpenBao Secret Mapping
+# Format: kv:kv:path/to/secret:value=ENV_VAR_NAME
+#
+# Generated for MCP server OpenBao integration
+# Date: 2026-01-24
+
+# No secrets required
+# This MCP server does not require any secrets or sensitive configuration.

README.md

@@ -5,7 +5,7 @@ Exposes eToroGridbot trading bot operations via Model Context Protocol. Provides
 ## Requirements
 
 - VPN connection to services network: `vpn-connect`
-- Gridbot conductor running on services VM (http://services:8000)
+- Gridbot conductor running on services VM (http://services:8001)
 - Python 3.10+ with uv for development
 
 ## Configuration
@@ -19,7 +19,7 @@ Add to `~/.claude/settings.json` under `mcpServers`:
     "args": ["-m", "src.server"],
     "cwd": "/path/to/gridbot-mcp",
     "env": {
-      "GRIDBOT_API_URL": "http://services:8000"
+      "GRIDBOT_API_URL": "http://services:8001"
     }
   }
 }

src/server.py

@@ -1,7 +1,7 @@
 """
 Gridbot MCP Server - Wraps eToroGridbot REST API as MCP tools.
 
-Requires VPN connection and GRIDBOT_API_URL env var (default: http://services.agiliton.internal:8000)
+Requires VPN connection and GRIDBOT_API_URL env var (default: http://services:8000)
 """
 
 import os
@@ -13,7 +13,7 @@ from mcp.server import Server
 from mcp.server.stdio import stdio_server
 from mcp.types import Tool, TextContent
 
-BASE_URL = os.getenv("GRIDBOT_API_URL", "http://services.agiliton.internal:8000")
+BASE_URL = os.getenv("GRIDBOT_API_URL", "http://services:8000")
 TIMEOUT = 30.0
 
 server = Server("gridbot-mcp")
@@ -563,6 +563,7 @@ async def list_tools() -> list[Tool]:
                 "type": "object",
                 "properties": {
                     "limit": {"type": "number", "default": 10, "description": "Max results (1-100)"},
+                    "min_pi_count": {"type": "number", "default": 2, "description": "Minimum PIs required (default: 2)"},
                 },
                 "required": [],
             },
@@ -823,7 +824,8 @@ async def call_tool(name: str, arguments: dict[str, Any]) -> list[TextContent]:
             result = await api_get(f"/api/pi-intelligence/consensus/{symbol}")
         case "pi_consensus_top":
             limit = arguments.get("limit", 10)
-            result = await api_get(f"/api/pi-intelligence/consensus/top?limit={limit}")
+            min_pi_count = arguments.get("min_pi_count", 2)
+            result = await api_get(f"/api/pi-intelligence/consensus/top?limit={limit}&min_pi_count={min_pi_count}")
         case "pi_scan_trigger":
             usernames = arguments.get("usernames")
             endpoint = "/api/pi-intelligence/scan/trigger"