diff --git a/owl/utils/mcp/mcp_servers_config.json b/owl/mcp_servers_config.json
similarity index 100%
rename from owl/utils/mcp/mcp_servers_config.json
rename to owl/mcp_servers_config.json
diff --git a/owl/run_mcp.py b/owl/run_mcp.py
index 4ae556b..570a03a 100644
--- a/owl/run_mcp.py
+++ b/owl/run_mcp.py
@@ -134,11 +134,9 @@ async def construct_society(
 
 
 async def main():
-    config_path = str(
-        Path(__file__).parent / "utils/mcp/mcp_servers_config.json"
-    )
+    config_path = Path(__file__).parent / "mcp_servers_config.json"
 
-    mcp_toolkit = MCPToolkit(config_path=config_path)
+    mcp_toolkit = MCPToolkit(config_path=str(config_path))
 
     question = (
         "I'd like a academic report about Guohao Li, including his research "
diff --git a/owl/utils/mcp/__init__.py b/owl/utils/mcp/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/owl/utils/mcp/servers/__init__.py b/owl/utils/mcp/servers/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/owl/utils/mcp/servers/mcp_server.py b/owl/utils/mcp/servers/mcp_server.py
deleted file mode 100755
index 7f02d57..0000000
--- a/owl/utils/mcp/servers/mcp_server.py
+++ /dev/null
@@ -1,136 +0,0 @@
-# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
-from typing import Any
-
-import httpx
-from mcp.server.fastmcp import FastMCP
-
-mcp = FastMCP("weather")
-
-NWS_API_BASE = "https://api.weather.gov"
-USER_AGENT = "weather-app/1.0"
-
-
-async def make_nws_request(url: str) -> dict[str, Any] | None:
-    r"""Make a request to the NWS API with proper error handling."""
-    headers = {"User-Agent": USER_AGENT, "Accept": "application/geo+json"}
-    async with httpx.AsyncClient() as client:
-        try:
-            response = await client.get(url, headers=headers, timeout=30.0)
-            response.raise_for_status()
-            return response.json()
-        except Exception:
-            return None
-
-
-def format_alert(feature: dict) -> str:
-    r"""Format an alert feature into a readable string."""
-    props = feature["properties"]
-    return f"""
-Event: {props.get('event', 'Unknown')}
-Area: {props.get('areaDesc', 'Unknown')}
-Severity: {props.get('severity', 'Unknown')}
-Description: {props.get('description', 'No description available')}
-Instructions: {props.get('instruction', 'No specific instructions provided')}
-"""
-
-
-@mcp.tool()
-async def get_alerts(state: str) -> str:
-    r"""Get weather alerts for a US state.
-
-    Args:
-        state: Two-letter US state code (e.g. CA, NY)
-    """
-    url = f"{NWS_API_BASE}/alerts/active/area/{state}"
-    data = await make_nws_request(url)
-
-    if not data or "features" not in data:
-        return "Unable to fetch alerts or no alerts found."
-
-    if not data["features"]:
-        return "No active alerts for this state."
-
-    alerts = [format_alert(feature) for feature in data["features"]]
-    return "\n---\n".join(alerts)
-
-
-@mcp.tool()
-async def get_forecast(latitude: float, longitude: float) -> str:
-    r"""Get weather forecast for a location.
-
-    Args:
-        latitude: Latitude of the location
-        longitude: Longitude of the location
-    """
-    # First get the forecast grid endpoint
-    points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}"
-    points_data = await make_nws_request(points_url)
-
-    if not points_data:
-        return "Unable to fetch forecast data for this location."
-
-    # Get the forecast URL from the points response
-    forecast_url = points_data["properties"]["forecast"]
-    forecast_data = await make_nws_request(forecast_url)
-
-    if not forecast_data:
-        return "Unable to fetch detailed forecast."
-
-    # Format the periods into a readable forecast
-    periods = forecast_data["properties"]["periods"]
-    forecasts = []
-    for period in periods[:5]:  # Only show next 5 periods
-        forecast = f"""
-{period['name']}:
-Temperature: {period['temperature']}°{period['temperatureUnit']}
-Wind: {period['windSpeed']} {period['windDirection']}
-Forecast: {period['detailedForecast']}
-"""
-        forecasts.append(forecast)
-
-    return "\n---\n".join(forecasts)
-
-
-def main(transport: str = "stdio"):
-    r"""Weather MCP Server
-
-    This server provides weather-related functionalities implemented via the Model Context Protocol (MCP).
-    It demonstrates how to establish interactions between AI models and external tools using MCP.
-
-    The server supports two modes of operation:
-
-    1. stdio mode (default):
-
-       - Communicates with clients via standard input/output streams, ideal for local command-line usage.
-
-       - Example usage: python mcp_server.py [--transport stdio]
-
-    2. SSE mode (Server-Sent Events):
-
-       - Communicates with clients over HTTP using server-sent events, suitable for persistent network connections.
-
-       - Runs by default at http://127.0.0.1:8000.
-
-       - Example usage: python mcp_server.py --transport sse
-    """  # noqa: E501
-    if transport == 'stdio':
-        mcp.run(transport='stdio')
-    elif transport == 'sse':
-        mcp.run(transport='sse')
-
-
-if __name__ == "__main__":
-    # Hardcoded to use stdio transport mode
-    main("stdio")