JAZZ MCPModel Context Protocol Server

Powerful tools for AI agents to search the web, crawl pages, and execute code in a secure sandbox environment.

MCP SERVER

Powerful Tools for AI Agents

JazzMCP provides essential tools that extend AI capabilities through the Model Context Protocol standard.

Search Web
Powerful tool to search the web and get relevant results directly in your AI workflows.
Crawl Pages
Crawl web pages using both regular crawling and headless browser capabilities for dynamic content.
Code Execution Sandbox
Execute Python code in a secure sandbox environment, enabling data analysis and visualization.

BENEFITS

Why Choose JazzMCP?

JazzMCP provides a comprehensive suite of tools that enhance your AI applications with powerful capabilities.

Seamless Integration

Easily integrate with popular AI frameworks including OpenAI, LangChain, CrewAI, and more.

Enhanced AI Capabilities

Extend your AI models with powerful tools for web search, crawling, and code execution.

Secure Sandbox Environment

Execute Python code safely in an isolated environment with robust security measures.

Real-time Web Access

Give your AI agents the ability to access and process the latest information from the web.

Standardized MCP Protocol

Built on the Model Context Protocol standard for consistent tool integration across platforms.

Developer-Friendly

Simple API design with comprehensive documentation and examples to get you started quickly.

INTEGRATION

How to Use JazzMCP

JazzMCP integrates with popular AI frameworks and tools. Select your preferred method below.

# pip install openai-agents-python
import os
from openai_agents import Agent, run
from openai_agents.tools.remote import McpServer

API_KEY = os.environ["JAZZMCP_API_KEY"]

mcp = McpServer(                       # auto-discovers + caches JazzMCP tools
    sse_params={
        "url": "https://mcp.jazzmcp.com/sse",
        "headers": {"Authorization": f"Bearer {API_KEY}"},  # ← key injected
    }
)

assistant = Agent(
    model="o3",
    system="You are a data-savvy assistant.",
    tools=mcp.tools,                   # every JazzMCP tool now available
)

print(run(assistant, "search_web '2025 EV subsidies' then exec_py to plot them"))