from dotenv import load_dotenv
from anthropic import Anthropic
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
from contextlib import AsyncExitStack
import json
import asyncio
import nest_asyncio
nest_asyncio.apply()
load_dotenv()
class MCP_ChatBot:
def __init__(self):
self.exit_stack = AsyncExitStack()
self.anthropic = Anthropic()
# Tools list required for Anthropic API
self.available_tools = []
# Prompts list for quick display
self.available_prompts = []
# Sessions dict maps tool/prompt names or resource URIs to MCP client sessions
self.sessions = {}
async def connect_to_server(self, server_name, server_config):
try:
server_params = StdioServerParameters(**server_config)
stdio_transport = await self.exit_stack.enter_async_context(
stdio_client(server_params)
)
read, write = stdio_transport
session = await self.exit_stack.enter_async_context(
ClientSession(read, write)
)
await session.initialize()
try:
# List available tools
response = await session.list_tools()
for tool in response.tools:
self.sessions[tool.name] = session
self.available_tools.append({
"name": tool.name,
"description": tool.description,
"input_schema": tool.inputSchema
})
# List available prompts
prompts_response = await session.list_prompts()
if prompts_response and prompts_response.prompts:
for prompt in prompts_response.prompts:
self.sessions[prompt.name] = session
self.available_prompts.append({
"name": prompt.name,
"description": prompt.description,
"arguments": prompt.arguments
})
# List available resources
resources_response = await session.list_resources()
if resources_response and resources_response.resources:
for resource in resources_response.resources:
resource_uri = str(resource.uri)
self.sessions[resource_uri] = session
except Exception as e:
print(f"Error {e}")
except Exception as e:
print(f"Error connecting to {server_name}: {e}")
async def connect_to_servers(self):
try:
with open("server_config.json", "r") as file:
data = json.load(file)
servers = data.get("mcpServers", {})
for server_name, server_config in servers.items():
await self.connect_to_server(server_name, server_config)
except Exception as e:
print(f"Error loading server config: {e}")
raise
async def process_query(self, query):
messages = [{'role':'user', 'content':query}]
while True:
response = self.anthropic.messages.create(
max_tokens = 2024,
model = 'claude-3-haiku-20240307',
tools = self.available_tools,
messages = messages
)
assistant_content = []
has_tool_use = False
for content in response.content:
if content.type == 'text':
print(content.text)
assistant_content.append(content)
elif content.type == 'tool_use':
has_tool_use = True
assistant_content.append(content)
messages.append({'role':'assistant', 'content':assistant_content})
# Get session and call tool
session = self.sessions.get(content.name)
if not session:
print(f"Tool '{content.name}' not found.")
break
result = await session.call_tool(content.name, arguments=content.input)
messages.append({
"role": "user",
"content": [
{
"type": "tool_result",
"tool_use_id": content.id,
"content": result.content
}
]
})
# Exit loop if no tool was used
if not has_tool_use:
break
async def get_resource(self, resource_uri):
session = self.sessions.get(resource_uri)
# Fallback for papers URIs - try any papers resource session
if not session and resource_uri.startswith("papers://"):
for uri, sess in self.sessions.items():
if uri.startswith("papers://"):
session = sess
break
if not session:
print(f"Resource '{resource_uri}' not found.")
return
try:
result = await session.read_resource(uri=resource_uri)
if result and result.contents:
print(f"\nResource: {resource_uri}")
print("Content:")
print(result.contents[0].text)
else:
print("No content available.")
except Exception as e:
print(f"Error: {e}")
async def list_prompts(self):
"""List all available prompts."""
if not self.available_prompts:
print("No prompts available.")
return
print("\nAvailable prompts:")
for prompt in self.available_prompts:
print(f"- {prompt['name']}: {prompt['description']}")
if prompt['arguments']:
print(f" Arguments:")
for arg in prompt['arguments']:
arg_name = arg.name if hasattr(arg, 'name') else arg.get('name', '')
print(f" - {arg_name}")
async def execute_prompt(self, prompt_name, args):
"""Execute a prompt with the given arguments."""
session = self.sessions.get(prompt_name)
if not session:
print(f"Prompt '{prompt_name}' not found.")
return
try:
result = await session.get_prompt(prompt_name, arguments=args)
if result and result.messages:
prompt_content = result.messages[0].content
# Extract text from content (handles different formats)
if isinstance(prompt_content, str):
text = prompt_content
elif hasattr(prompt_content, 'text'):
text = prompt_content.text
else:
# Handle list of content items
text = " ".join(item.text if hasattr(item, 'text') else str(item)
for item in prompt_content)
print(f"\nExecuting prompt '{prompt_name}'...")
await self.process_query(text)
except Exception as e:
print(f"Error: {e}")
async def chat_loop(self):
print("\nMCP Chatbot Started!")
print("Type your queries or 'quit' to exit.")
print("Use @folders to see available topics")
print("Use @<topic> to search papers in that topic")
print("Use /prompts to list available prompts")
print("Use /prompt <name> <arg1=value1> to execute a prompt")
while True:
try:
query = input("\nQuery: ").strip()
if not query:
continue
if query.lower() == 'quit':
break
# Check for @resource syntax first
if query.startswith('@'):
# Remove @ sign
topic = query[1:]
if topic == "folders":
resource_uri = "papers://folders"
else:
resource_uri = f"papers://{topic}"
await self.get_resource(resource_uri)
continue
# Check for /command syntax
if query.startswith('/'):
parts = query.split()
command = parts[0].lower()
if command == '/prompts':
await self.list_prompts()
elif command == '/prompt':
if len(parts) < 2:
print("Usage: /prompt <name> <arg1=value1> <arg2=value2>")
continue
prompt_name = parts[1]
args = {}
# Parse arguments
for arg in parts[2:]:
if '=' in arg:
key, value = arg.split('=', 1)
args[key] = value
await self.execute_prompt(prompt_name, args)
else:
print(f"Unknown command: {command}")
continue
await self.process_query(query)
except Exception as e:
print(f"\nError: {str(e)}")
async def cleanup(self):
await self.exit_stack.aclose()
async def main():
chatbot = MCP_ChatBot()
try:
await chatbot.connect_to_servers()
await chatbot.chat_loop()
finally:
await chatbot.cleanup()
if __name__ == "__main__":
asyncio.run(main())
