# How to integrate Benzinga MCP with Pydantic AI ```json { "title": "How to integrate Benzinga MCP with Pydantic AI", "toolkit": "Benzinga", "toolkit_slug": "benzinga", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/benzinga/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/benzinga/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:02:31.170Z" } ``` ## Introduction This guide walks you through connecting Benzinga to Pydantic AI using the Composio tool router. By the end, you'll have a working Benzinga agent that can stream real-time news about tesla today, list this week's upcoming earnings reports, show latest analyst ratings for apple through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Benzinga account through Composio's Benzinga MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Benzinga with - [OpenAI Agents SDK](https://composio.dev/toolkits/benzinga/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/benzinga/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/benzinga/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/benzinga/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/benzinga/framework/codex) - [OpenClaw](https://composio.dev/toolkits/benzinga/framework/openclaw) - [Hermes](https://composio.dev/toolkits/benzinga/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/benzinga/framework/cli) - [Google ADK](https://composio.dev/toolkits/benzinga/framework/google-adk) - [LangChain](https://composio.dev/toolkits/benzinga/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/benzinga/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/benzinga/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/benzinga/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/benzinga/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 Benzinga - 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 Benzinga 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 Benzinga MCP server, and what's possible with it? The Benzinga MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Benzinga account. It provides structured and secure access to real-time financial news and market data, so your agent can track earnings, monitor analyst ratings, stream news, and analyze economic events on your behalf. - Live financial news streaming: Instantly stream real-time news updates, market-moving events, and breaking headlines as they happen so your agent always stays informed. - Earnings and conference call tracking: Automatically retrieve upcoming earnings dates, actuals, estimates, and conference call details for any ticker or date range. - Analyst sentiment and ratings insights: Fetch consensus analyst ratings, price targets, and detailed rating calendars to help evaluate stock sentiment and trends. - Economic event analysis: Access comprehensive economic calendar events, including values, consensus, and importance filters to understand macroeconomic impacts. - Audit and manage removed items: Identify and review deleted news articles or cancelled calendar events for full transparency and compliance. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BENZINGA_GET_CALENDAR_EARNINGS_STREAM` | Get Calendar Earnings Stream | Tool to subscribe to real-time earnings calendar events via websocket. use when you need immediate updates as reports are announced. | | `BENZINGA_GET_CONFERENCE_CALLS` | Get Conference Calls | Tool to retrieve upcoming and historical conference call details such as times, tickers, and webcast urls. use when filtering conference calls by date range or ticker symbols. | | `BENZINGA_GET_CONSENSUS_RATINGS` | Get Consensus Ratings | Tool to get consensus analyst ratings and price targets for a specified ticker over a date range. use when you need to gauge analyst sentiment and target price consensus for investment decisions. | | `BENZINGA_GET_EARNINGS_V21` | Get Earnings Calendar V2.1 | Tool to retrieve earnings calendar data (v2.1). use when you need dates, estimates, and actuals for upcoming earnings events. | | `BENZINGA_GET_ECONOMICS` | Get Economics | Tool to retrieve economic calendar events including actual, consensus, and prior values and importance. use when filtering by date, country, importance, or updated timestamp. | | `BENZINGA_GET_NEWSFEED_STREAM` | Get Newsfeed Stream | Tool to stream real-time news events via websocket. use when you need immediate updates to news as they are created, updated, or removed. | | `BENZINGA_GET_RATINGS` | Get Analyst Ratings | Tool to fetch analyst ratings calendar data including rating actions, price targets, and analyst details. use when querying upcoming or historical analyst ratings. | | `BENZINGA_GET_REMOVED` | Get Removed | Tool to retrieve removed or cancelled calendar events. use when you need to identify calendar items removed for specific event types or filtered by removal timestamp. | | `BENZINGA_GET_REMOVED_NEWS` | Get Removed News | Tool to retrieve news articles that have been deleted from the database. use when you need to fetch removed articles with pagination and timestamp filters. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Benzinga MCP server is an implementation of the Model Context Protocol that connects your AI agent to Benzinga. It provides structured and secure access so your agent can perform Benzinga 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 Benzinga - 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 Benzinga - MCPServerStreamableHTTP connects to the Benzinga 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 Benzinga 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 Benzinga composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["benzinga"], ) 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 Benzinga endpoint - The agent uses GPT-5 to interpret user commands and perform Benzinga operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent benzinga_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[benzinga_mcp], instructions=( "You are a Benzinga assistant. Use Benzinga 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 - Benzinga 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 Benzinga.\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 Benzinga composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["benzinga"], ) 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 benzinga_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[benzinga_mcp], instructions=( "You are a Benzinga assistant. Use Benzinga 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 Benzinga.\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 Benzinga through Composio's Tool Router. With this setup, your agent can perform real Benzinga 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 + Benzinga 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 Benzinga MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/benzinga/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/benzinga/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/benzinga/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/benzinga/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/benzinga/framework/codex) - [OpenClaw](https://composio.dev/toolkits/benzinga/framework/openclaw) - [Hermes](https://composio.dev/toolkits/benzinga/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/benzinga/framework/cli) - [Google ADK](https://composio.dev/toolkits/benzinga/framework/google-adk) - [LangChain](https://composio.dev/toolkits/benzinga/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/benzinga/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/benzinga/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/benzinga/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/benzinga/framework/crew-ai) ## Related Toolkits - [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide. - [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions. - [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management. - [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth. - [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone. - [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place. - [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations. - [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications. - [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities. - [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation. - [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place. - [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics. - [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses. - [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly. - [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place. - [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows. - [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free. - [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Benzinga MCP? With a standalone Benzinga MCP server, the agents and LLMs can only access a fixed set of Benzinga tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Benzinga 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 Benzinga tools. ### Can I manage the permissions and scopes for Benzinga while using Tool Router? Yes, absolutely. You can configure which Benzinga 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 Benzinga data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)