├── .python-version
├── .env
├── main.py
├── .gitignore
├── pyproject.toml
├── 3.client.py
├── README.md
├── 1.acpserver.py
├── 2.mcpserver.py
└── uv.lock
/.python-version:
--------------------------------------------------------------------------------
1 | 3.13
2 |
--------------------------------------------------------------------------------
/.env:
--------------------------------------------------------------------------------
1 | WATSONX_APIKEY=
2 | WATSONX_URL="https://us-south.ml.cloud.ibm.com"
3 | WX_PROJECT_ID=
--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
1 | def main():
2 | print("Hello from 6-05-2025-acpxwatsonx!")
3 |
4 |
5 | if __name__ == "__main__":
6 | main()
7 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # Python-generated files
2 | __pycache__/
3 | *.py[oc]
4 | build/
5 | dist/
6 | wheels/
7 | *.egg-info
8 |
9 | # Virtual environments
10 | .venv
11 | .DS_store
12 |
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
1 | [project]
2 | name = "6-05-2025-acpxwatsonx"
3 | version = "0.1.0"
4 | description = "Add your description here"
5 | readme = "README.md"
6 | requires-python = ">=3.13"
7 | dependencies = [
8 | "acp-sdk>=0.8.4",
9 | "colorama>=0.4.6",
10 | "smolagents[litellm,mcp]>=1.14.0",
11 | "yfinance>=0.2.58",
12 | ]
13 |
--------------------------------------------------------------------------------
/3.client.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | from acp_sdk.client import Client
3 | from colorama import Fore
4 |
5 | async def run_finance_workflow() -> None:
6 | async with Client(base_url="http://localhost:4242") as hospital:
7 | run1 = await hospital.run_sync(
8 | agent="stock_agent", input="What was IBMs EBITDA?"
9 | )
10 | content = run1.output[0].parts[0].content
11 | print(Fore.LIGHTMAGENTA_EX+ content + Fore.RESET)
12 |
13 | if __name__ == "__main__":
14 | asyncio.run(run_finance_workflow())
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # ACP + MCP in 10 Minutes
2 | Learn how to build a ACP compliant agent that also uses MCP in 10 minutes.
3 |
4 | ## See it live and in action 📺
5 | TBD
6 |
7 |
8 | # Startup 🚀
9 | 1. Clone this repository `git clone https://github.com/nicknochnack/ACPxMCPxWatsonx` and go into it `cd ACPxMCPxWatsonx`
10 | 2. Update your `WATSONX_APIKEY` and `WX_PROJECT_ID` in the `.env` file.
11 | 3. Start the ACP Server `uv run 1.acpserver.py`
12 | 4. Run the agent via the ACP Client `uv run 3.client.py`
13 |
14 | N.b. Make sure you have ollama running.
15 |
16 | # Other stuff
17 | - ACP Doco: https://agentcommunicationprotocol.dev
18 | - ACP GitHub Repo: https://github.com/i-am-bee/acp
19 |
20 |
21 | # Who, When, Why?
22 |
23 | 👨🏾💻 Author: Nick Renotte
24 | 📅 Version: 1.x
25 | 📜 License: This project is licensed under the MIT License
26 |
--------------------------------------------------------------------------------
/1.acpserver.py:
--------------------------------------------------------------------------------
1 | from collections.abc import AsyncGenerator
2 | from acp_sdk.models import Message, MessagePart
3 | from acp_sdk.server import Context, RunYield, RunYieldResume, Server
4 | from smolagents import ToolCallingAgent, ToolCollection, CodeAgent, DuckDuckGoSearchTool, LiteLLMModel, VisitWebpageTool
5 | import logging
6 | from mcp import StdioServerParameters
7 | from dotenv import load_dotenv
8 | import os
9 |
10 | load_dotenv()
11 |
12 | server = Server()
13 |
14 | model = LiteLLMModel(
15 | model_id="watsonx/meta-llama/llama-4-maverick-17b-128e-instruct-fp8",
16 | api_key=os.environ['WATSONX_APIKEY'],
17 | num_ctx=8192,
18 | )
19 |
20 | # Outline STDIO stuff to get to MCP Tools
21 | server_parameters = StdioServerParameters(
22 | command="uv",
23 | args=["run", "2.mcpserver.py"],
24 | env=None,
25 | )
26 |
27 | @server.agent()
28 | async def stock_agent(input: list[Message], context: Context) -> AsyncGenerator[RunYield, RunYieldResume]:
29 | "This is a CodeAgent which supports the hospital to handle health based questions for patients. Current or prospective patients can use it to find answers about their health and hospital treatments."
30 | with ToolCollection.from_mcp(server_parameters, trust_remote_code=True) as tool_collection:
31 | agent = ToolCallingAgent(tools=[*tool_collection.tools], model=model)
32 | prompt = input[0].parts[0].content
33 | response = agent.run(prompt)
34 |
35 | yield response
36 |
37 | if __name__ == "__main__":
38 | server.run(port=4242)
--------------------------------------------------------------------------------
/2.mcpserver.py:
--------------------------------------------------------------------------------
1 | # Import yahoo finance
2 | import yfinance as yf
3 | # Bring in colorama for fancy printing
4 | from colorama import Fore
5 | # Bring in MCP Server SDK
6 | from mcp.server.fastmcp import FastMCP
7 | # Create server
8 | mcp = FastMCP("yfinanceserver")
9 |
10 | # Build server function
11 | @mcp.tool()
12 | def stock_price(stock_ticker: str) -> str:
13 | """This tool returns the last known price for a given stock ticker.
14 | Args:
15 | stock_ticker: a alphanumeric stock ticker
16 | Example payload: "NVDA"
17 |
18 | Returns:
19 | str:"Ticker: Last Price"
20 | Example Respnse "NVDA: $100.21"
21 | """
22 | # Specify stock ticker
23 | dat = yf.Ticker(stock_ticker)
24 | # Get historical prices
25 | historical_prices = dat.history(period='1mo')
26 | # Filter on closes only
27 | last_months_closes = historical_prices['Close']
28 | print(Fore.YELLOW + str(last_months_closes))
29 | return str(f"Stock price over the last month for {stock_ticker}: {last_months_closes}")
30 |
31 | # Add in a stock info tool
32 | @mcp.tool()
33 | def stock_info(stock_ticker: str) -> str:
34 | """This tool returns information about a given stock given it's ticker.
35 | Args:
36 | stock_ticker: a alphanumeric stock ticker
37 | Example payload: "IBM"
38 |
39 | Returns:
40 | str:information about the company
41 | Example Respnse "Background information for IBM: {'address1': 'One New Orchard Road', 'city': 'Armonk', 'state': 'NY', 'zip': '10504', 'country': 'United States', 'phone': '914 499 1900', 'website':
42 | 'https://www.ibm.com', 'industry': 'Information Technology Services',... }"
43 | """
44 | dat = yf.Ticker(stock_ticker)
45 |
46 | return str(f"Background information for {stock_ticker}: {dat.info}")
47 |
48 | # Add in an income statement tool
49 | @mcp.tool()
50 | def income_statement(stock_ticker: str) -> str:
51 | """This tool returns the quarterly income statement for a given stock ticker.
52 | Args:
53 | stock_ticker: a alphanumeric stock ticker
54 | Example payload: "BOA"
55 |
56 | Returns:
57 | str:quarterly income statement for the company
58 | Example Respnse "Income statement for BOA:
59 | Tax Effect Of Unusual Items 76923472.474289 ... NaN
60 | Tax Rate For Calcs 0.11464 ... NaN
61 | Normalized EBITDA 4172000000.0 ... NaN
62 | """
63 |
64 | dat = yf.Ticker(stock_ticker)
65 |
66 |
67 | return str(f"Background information for {stock_ticker} {dat.quarterly_income_stmt}")
68 |
69 | # Kick off server if file is run
70 | if __name__ == "__main__":
71 | mcp.run(transport="stdio")
--------------------------------------------------------------------------------
/uv.lock:
--------------------------------------------------------------------------------
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2 | revision = 1
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