# How to integrate Currents api MCP with Pydantic AI ```json { "title": "How to integrate Currents api MCP with Pydantic AI", "toolkit": "Currents api", "toolkit_slug": "currents_api", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/currents_api/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/currents_api/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:07:58.051Z" } ``` ## Introduction This guide walks you through connecting Currents api to Pydantic AI using the Composio tool router. By the end, you'll have a working Currents api agent that can show me the latest tech news headlines, get recent news articles about climate change, list top business news in spanish today through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Currents api account through Composio's Currents api MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Currents api with - [OpenAI Agents SDK](https://composio.dev/toolkits/currents_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/currents_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/currents_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/currents_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/currents_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/currents_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/currents_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/currents_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/currents_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/currents_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/currents_api/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/currents_api/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/currents_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/currents_api/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Currents api - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Currents api workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the Currents api MCP server, and what's possible with it? The Currents api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Currents api account. It provides structured and secure access to global news data and usage analytics, so your agent can fetch the latest headlines, monitor news categories, analyze usage reports, and automate real-time news tracking on your behalf. - Fetch real-time news articles: Instantly retrieve the latest news stories from diverse sources worldwide, filtered by category or language. - Monitor activity notifications: Set up notification channels for specific users or applications, allowing your agent to watch for real-time events and updates. - Analyze usage statistics: Access detailed usage reports for Google Workspace entities to gain insights into user activity patterns and system performance. - Fallback news listing: When listing users isn't supported, seamlessly get the most recent news articles as a fallback to keep information flowing. - User activity reporting: Retrieve granular usage reports for individual users, helping you track engagement and audit activity over time. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CURRENTS_API_ACTIVITIES_LIST` | List Latest News | Tool to retrieve the latest news articles from Currents News API. Use when you need a real-time feed of recent articles. | | `CURRENTS_API_ACTIVITIES_WATCH` | Activities Watch | Start a push notification channel to watch user activities for Google Workspace applications. This action sets up a webhook to receive real-time notifications when activities occur in Google Workspace apps (admin, calendar, drive, docs, gmail, meet, etc.). Prerequisites: - Valid webhook URL that can receive POST notifications - OAuth credentials with appropriate scopes for the target application - For production use, requires Google Admin Reports API access Use this when you need to monitor user activities in real-time rather than polling. | | `CURRENTS_API_ENTITY_USAGE_REPORTS_GET` | Get Entity Usage Reports | Tool to retrieve usage statistics for a specific Google Workspace entity. Use when you need to analyze entity usage on a particular date. | | `CURRENTS_API_USERS_LIST` | List Users | Tool to list users in a Google Workspace domain. Note: - When the provided base_url points to Currents News API (api.currentsapi.services), this action will gracefully fall back to listing latest news articles to ensure a valid response, since the Currents News API does not expose a users endpoint. - When the base_url points to Google Admin Directory API, it will list users from the domain/customer specified. | | `CURRENTS_API_USER_USAGE_REPORT_GET` | Search News Articles | Retrieve news articles from Currents News API with flexible search and filtering. Use this tool to: - Search for news articles by keywords or phrases - Filter articles by language, category, country, or date range - Retrieve paginated results for large result sets - Access comprehensive news data including titles, descriptions, authors, and publication dates This tool provides access to real-time global news content for information gathering, research, monitoring, or content curation purposes. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Currents api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Currents api. It provides structured and secure access so your agent can perform Currents api operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Currents api - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Currents api - MCPServerStreamableHTTP connects to the Currents api MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Currents api tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Currents api composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["currents_api"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Currents api endpoint - The agent uses GPT-5 to interpret user commands and perform Currents api operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent currents_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[currents_api_mcp], instructions=( "You are a Currents api assistant. Use Currents api tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Currents api API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Currents api.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Currents api composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["currents_api"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent currents_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[currents_api_mcp], instructions=( "You are a Currents api assistant. Use Currents api tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Currents api.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Currents api through Composio's Tool Router. With this setup, your agent can perform real Currents api actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Currents api for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Currents api MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/currents_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/currents_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/currents_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/currents_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/currents_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/currents_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/currents_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/currents_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/currents_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/currents_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/currents_api/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/currents_api/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/currents_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/currents_api/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Currents api MCP? With a standalone Currents api MCP server, the agents and LLMs can only access a fixed set of Currents api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Currents api and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Currents api tools. ### Can I manage the permissions and scopes for Currents api while using Tool Router? Yes, absolutely. You can configure which Currents api scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Currents api data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)