update MCP foundational examples
This commit is contained in:
@@ -7,6 +7,7 @@
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import asyncio
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import io
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import json
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import os
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import re
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import shutil
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@@ -15,7 +16,7 @@ import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from mcp import StdioServerParameters
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from mcp.client.session_group import SseServerParameters
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from mcp.client.session_group import StreamableHttpParameters
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from PIL import Image
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from pipecat.adapters.schemas.tools_schema import ToolsSchema
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@@ -66,10 +67,12 @@ class UrlToImageProcessor(FrameProcessor):
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await self.push_frame(frame, direction)
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def extract_url(self, text: str):
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pattern = r"!\[[^\]]*\]\((https?://[^)]+\.(png|jpg|jpeg|PNG|JPG|JPEG|gif))\)"
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match = re.search(pattern, text)
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if match:
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return match.group(1)
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data = json.loads(text)
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if "artObject" in data:
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return data["artObject"]["webImage"]["url"]
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if "artworks" in data and len(data["artworks"]):
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return data["artworks"][0]["webImage"]["url"]
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return None
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async def run_image_process(self, image_url: str):
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@@ -132,10 +135,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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system = f"""
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You are a helpful LLM in a WebRTC call.
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Your goal is to demonstrate your capabilities in a succinct way.
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You have access to tools to search the Rijksmuseum collection.
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Offer, for example, to show the earliest Rembrandt work from the museum. Use the `search_artwork` tool.
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You have access to tools to search the Rijksmuseum collection and the user's GitHub repositories and account.
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Offer, for example, to show a floral still life, use the `search_artwork` tool.
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The tool may respond with a JSON object with an `artworks` array. Choose the art from that array.
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Once the tool has responded, tell the user the title and use the `open_image_in_browser` tool.
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You can also offer to answer users questions about their GitHub repositories and account.
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Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points.
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Respond to what the user said in a creative and helpful way.
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Don't overexplain what you are doing.
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@@ -145,11 +149,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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messages = [{"role": "system", "content": system}]
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try:
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mcp = MCPClient(
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rijksmuseum_mcp = MCPClient(
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server_params=StdioServerParameters(
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command=shutil.which("npx"),
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# https://github.com/r-huijts/rijksmuseum-mcp
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args=["-y", "mcp-server-error setting up mcp"],
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args=["-y", "mcp-server-rijksmuseum"],
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env={"RIJKSMUSEUM_API_KEY": os.getenv("RIJKSMUSEUM_API_KEY")},
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)
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)
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@@ -157,24 +161,32 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.error(f"error setting up rijksmuseum mcp")
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logger.exception("error trace:")
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try:
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# https://docs.mcp.run/integrating/tutorials/mcp-run-sse-openai-agents/
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# ie. "https://www.mcp.run/api/mcp/sse?..."
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# ensure the profile has a tool or few installed
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mcp_run = MCPClient(server_params=SseServerParameters(url=os.getenv("MCP_RUN_SSE_URL")))
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# Github MCP docs: https://github.com/github/github-mcp-server
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# Enable Github Copilot on your GitHub account. Free tier is ok. (https://github.com/settings/copilot)
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# Generate a personal access token. It must be a Fine-grained token, classic tokens are not supported. (https://github.com/settings/personal-access-tokens)
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# Set permissions you want to use (eg. "all repositories", "profile: read/write", etc)
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github_mcp = MCPClient(
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server_params=StreamableHttpParameters(
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url="https://api.githubcopilot.com/mcp/",
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headers={
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"Authorization": f"Bearer {os.getenv('GITHUB_PERSONAL_ACCESS_TOKEN')}"
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},
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)
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)
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except Exception as e:
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logger.error(f"error setting up mcp.run")
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logger.exception("error trace:")
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tools = {}
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run_tools = {}
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rijksmuseum_tools = {}
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github_tools = {}
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try:
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tools = await mcp.register_tools(llm)
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run_tools = await mcp_run.register_tools(llm)
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rijksmuseum_tools = await rijksmuseum_mcp.register_tools(llm)
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github_tools = await github_mcp.register_tools(llm)
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except Exception as e:
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logger.error(f"error registering tools")
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logger.exception("error trace:")
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all_standard_tools = run_tools.standard_tools + tools.standard_tools
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all_standard_tools = rijksmuseum_tools.standard_tools + github_tools.standard_tools
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all_tools = ToolsSchema(standard_tools=all_standard_tools)
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context = LLMContext(messages, all_tools)
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@@ -226,9 +238,9 @@ async def bot(runner_args: RunnerArguments):
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if __name__ == "__main__":
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if not os.getenv("RIJKSMUSEUM_API_KEY") or not os.getenv("MCP_RUN_SSE_URL"):
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if not os.getenv("RIJKSMUSEUM_API_KEY") or not os.getenv("GITHUB_PERSONAL_ACCESS_TOKEN"):
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logger.error(
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f"Please set RIJKSMUSEUM_API_KEY and MCP_RUN_SSE_URL environment variables. See https://github.com/r-huijts/rijksmuseum-mcp and https://mcp.run"
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f"Please set `RIJKSMUSEUM_API_KEY` and `GITHUB_PERSONAL_ACCESS_TOKEN` environment variables. See https://github.com/r-huijts/rijksmuseum-mcp."
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)
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import sys
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