# How to integrate Dictionary api MCP with Pydantic AI ```json { "title": "How to integrate Dictionary api MCP with Pydantic AI", "toolkit": "Dictionary api", "toolkit_slug": "dictionary_api", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/dictionary_api/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/dictionary_api/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:08:42.039Z" } ``` ## Introduction This guide walks you through connecting Dictionary api to Pydantic AI using the Composio tool router. By the end, you'll have a working Dictionary api agent that can get the definition and synonyms for 'ubiquitous', find the origin and pronunciation of 'serendipity', list antonyms for the word 'ambiguous' through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Dictionary api account through Composio's Dictionary api MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Dictionary api with - [OpenAI Agents SDK](https://composio.dev/toolkits/dictionary_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dictionary_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dictionary_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dictionary_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dictionary_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dictionary_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dictionary_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dictionary_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/dictionary_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dictionary_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dictionary_api/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dictionary_api/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dictionary_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dictionary_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 Dictionary 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 Dictionary 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 Dictionary api MCP server, and what's possible with it? The Dictionary 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 Dictionary api account. It provides structured and secure access to comprehensive dictionary and thesaurus data, so your agent can look up definitions, explore word origins, access pronunciations, and discover synonyms or antonyms on your behalf. - Instant word definition lookup: Ask your agent to fetch clear, detailed definitions for any word you encounter. - Etymology and origin insights: Let the agent retrieve the historical roots and language origin of specific words for deeper understanding. - Audio pronunciation access: Have your agent provide accurate audio pronunciations, helping with proper usage and learning. - Synonyms and antonyms discovery: Quickly find synonyms and antonyms to enrich your vocabulary or refine your writing style. - Comprehensive lexical information: Enable your agent to surface all available meanings, usage examples, and nuanced word senses for precise communication. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DICTIONARY_API_GET_WORD_DEFINITION_V2` | Get Word Definition | Retrieve comprehensive dictionary data for a word including definitions, phonetics, etymology, synonyms, and antonyms. Uses the Free Dictionary API (dictionaryapi.dev) - a free, open-source dictionary powered by Wiktionary data. Returns detailed word information including multiple definitions grouped by part of speech, pronunciation audio, example sentences, and related words. Ideal for language learning, writing assistance, and vocabulary exploration. Note: Primarily supports English ('en'). Other languages may have limited coverage. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Dictionary api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dictionary api. It provides structured and secure access so your agent can perform Dictionary 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 Dictionary 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 Dictionary api - MCPServerStreamableHTTP connects to the Dictionary 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 Dictionary 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 Dictionary api composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["dictionary_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 Dictionary api endpoint - The agent uses GPT-5 to interpret user commands and perform Dictionary api operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent dictionary_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[dictionary_api_mcp], instructions=( "You are a Dictionary api assistant. Use Dictionary 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 - Dictionary 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 Dictionary 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 Dictionary api composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["dictionary_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 dictionary_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[dictionary_api_mcp], instructions=( "You are a Dictionary api assistant. Use Dictionary 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 Dictionary 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 Dictionary api through Composio's Tool Router. With this setup, your agent can perform real Dictionary 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 + Dictionary 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 Dictionary api MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/dictionary_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dictionary_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dictionary_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dictionary_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dictionary_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dictionary_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dictionary_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dictionary_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/dictionary_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dictionary_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dictionary_api/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dictionary_api/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dictionary_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dictionary_api/framework/crew-ai) ## Related Toolkits - [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. 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It helps educators streamline digital teaching, assignments, and communication with students. - [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected. - [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication. - [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results. - [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently. - [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Dictionary api MCP? With a standalone Dictionary api MCP server, the agents and LLMs can only access a fixed set of Dictionary api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dictionary 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 Dictionary api tools. ### Can I manage the permissions and scopes for Dictionary api while using Tool Router? Yes, absolutely. You can configure which Dictionary 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 Dictionary api 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)