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import asyncio
import os
import json
from typing import List, Dict, Any, Union
from contextlib import AsyncExitStack
import gradio as gr
from gradio.components.chatbot import ChatMessage
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
from anthropic import Anthropic
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
class MCPClientWrapper:
def __init__(self):
self.session = None
self.exit_stack = None
self.anthropic = None
self.tools = []
self.api_key = None
def set_api_key(self, api_key: str) -> str:
"""Set the Anthropic API key and initialize the client"""
if not api_key or not api_key.strip():
return "❌ Please provide a valid Anthropic API key"
try:
self.api_key = api_key.strip()
self.anthropic = Anthropic(api_key=self.api_key)
return "✅ Anthropic API key set successfully"
except Exception as e:
return f"❌ Error setting API key: {str(e)}"
def connect(self, server_path: str) -> str:
if not self.anthropic:
return "❌ Please set your Anthropic API key first"
return loop.run_until_complete(self._connect(server_path))
async def _connect(self, server_path: str) -> str:
if self.exit_stack:
await self.exit_stack.aclose()
self.exit_stack = AsyncExitStack()
is_python = server_path.endswith('.py')
command = "python" if is_python else "node"
server_params = StdioServerParameters(
command=command,
args=[server_path],
env={"PYTHONIOENCODING": "utf-8", "PYTHONUNBUFFERED": "1"}
)
try:
stdio_transport = await self.exit_stack.enter_async_context(stdio_client(server_params))
self.stdio, self.write = stdio_transport
self.session = await self.exit_stack.enter_async_context(ClientSession(self.stdio, self.write))
await self.session.initialize()
response = await self.session.list_tools()
self.tools = [{
"name": tool.name,
"description": tool.description,
"input_schema": tool.inputSchema
} for tool in response.tools]
tool_names = [tool["name"] for tool in self.tools]
return f"✅ Connected to MCP server. Available tools: {', '.join(tool_names)}"
except Exception as e:
return f"❌ Failed to connect to MCP server: {str(e)}"
def process_message(self, message: str, history: List[Union[Dict[str, Any], ChatMessage]]) -> tuple:
if not self.anthropic:
return history + [
{"role": "user", "content": message},
{"role": "assistant", "content": "❌ Please set your Anthropic API key first."}
], gr.Textbox(value="")
if not self.session:
return history + [
{"role": "user", "content": message},
{"role": "assistant", "content": "❌ Please connect to an MCP server first."}
], gr.Textbox(value="")
try:
new_messages = loop.run_until_complete(self._process_query(message, history))
return history + [{"role": "user", "content": message}] + new_messages, gr.Textbox(value="")
except Exception as e:
return history + [
{"role": "user", "content": message},
{"role": "assistant", "content": f"❌ Error processing message: {str(e)}"}
], gr.Textbox(value="")
async def _process_query(self, message: str, history: List[Union[Dict[str, Any], ChatMessage]]):
claude_messages = []
for msg in history:
if isinstance(msg, ChatMessage):
role, content = msg.role, msg.content
else:
role, content = msg.get("role"), msg.get("content")
if role in ["user", "assistant", "system"]:
claude_messages.append({"role": role, "content": content})
claude_messages.append({"role": "user", "content": message})
response = self.anthropic.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=claude_messages,
tools=self.tools
)
result_messages = []
for content in response.content:
if content.type == 'text':
result_messages.append({
"role": "assistant",
"content": content.text
})
elif content.type == 'tool_use':
tool_name = content.name
tool_args = content.input
result_messages.append({
"role": "assistant",
"content": f"I'll use the {tool_name} tool to help answer your question.",
"metadata": {
"title": f"Using tool: {tool_name}",
"log": f"Parameters: {json.dumps(tool_args, ensure_ascii=True)}",
"status": "pending",
"id": f"tool_call_{tool_name}"
}
})
result_messages.append({
"role": "assistant",
"content": "```json\n" + json.dumps(tool_args, indent=2, ensure_ascii=True) + "\n```",
"metadata": {
"parent_id": f"tool_call_{tool_name}",
"id": f"params_{tool_name}",
"title": "Tool Parameters"
}
})
result = await self.session.call_tool(tool_name, tool_args)
if result_messages and "metadata" in result_messages[-2]:
result_messages[-2]["metadata"]["status"] = "done"
result_messages.append({
"role": "assistant",
"content": "Here are the results from the tool:",
"metadata": {
"title": f"Tool Result for {tool_name}",
"status": "done",
"id": f"result_{tool_name}"
}
})
result_content = result.content
if isinstance(result_content, list):
result_content = "\n".join(str(item) for item in result_content)
try:
result_json = json.loads(result_content)
if isinstance(result_json, dict) and "type" in result_json:
if result_json["type"] == "image" and "url" in result_json:
result_messages.append({
"role": "assistant",
"content": {"path": result_json["url"], "alt_text": result_json.get("message", "Generated image")},
"metadata": {
"parent_id": f"result_{tool_name}",
"id": f"image_{tool_name}",
"title": "Generated Image"
}
})
else:
result_messages.append({
"role": "assistant",
"content": "```\n" + result_content + "\n```",
"metadata": {
"parent_id": f"result_{tool_name}",
"id": f"raw_result_{tool_name}",
"title": "Raw Output"
}
})
except:
result_messages.append({
"role": "assistant",
"content": "```\n" + result_content + "\n```",
"metadata": {
"parent_id": f"result_{tool_name}",
"id": f"raw_result_{tool_name}",
"title": "Raw Output"
}
})
claude_messages.append({"role": "user", "content": f"Tool result for {tool_name}: {result_content}"})
next_response = self.anthropic.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=claude_messages,
)
if next_response.content and next_response.content[0].type == 'text':
result_messages.append({
"role": "assistant",
"content": next_response.content[0].text
})
return result_messages
client = MCPClientWrapper()
def gradio_interface():
with gr.Blocks(title="MCP client") as demo:
gr.Markdown("# MCP test")
gr.Markdown("Connect to mcp server and chat with the assistant")
# API Key Section
with gr.Row(equal_height=True):
with gr.Column(scale=4):
api_key_input = gr.Textbox(
label="Anthropic API Key",
placeholder="Enter your Anthropic API key (sk-ant-...)",
type="password",
value=""
)
with gr.Column(scale=1):
set_key_btn = gr.Button("Set API Key")
api_key_status = gr.Textbox(label="API Key Status", interactive=False)
# Server Connection Section
with gr.Row(equal_height=True):
with gr.Column(scale=4):
server_path = gr.Textbox(
label="Server Script Path",
placeholder="Enter path to server script (e.g., weather.py)",
value="gradio_mcp_server.py"
)
with gr.Column(scale=1):
connect_btn = gr.Button("Connect")
connection_status = gr.Textbox(label="Connection Status", interactive=False)
# Chat Section
chatbot = gr.Chatbot(
value=[],
height=500,
type="messages",
show_copy_button=True,
avatar_images=("👤", "🤖")
)
with gr.Row(equal_height=True):
msg = gr.Textbox(
label="Your Question",
placeholder="Ask about weather or alerts (e.g., What's the weather in New York?)",
scale=4
)
clear_btn = gr.Button("Clear Chat", scale=1)
# Event handlers
set_key_btn.click(client.set_api_key, inputs=api_key_input, outputs=api_key_status)
connect_btn.click(client.connect, inputs=server_path, outputs=connection_status)
msg.submit(client.process_message, [msg, chatbot], [chatbot, msg])
clear_btn.click(lambda: [], None, chatbot)
return demo
if __name__ == "__main__":
interface = gradio_interface()
interface.launch(debug=True) |