# How to integrate Doppler MCP with Pydantic AI ```json { "title": "How to integrate Doppler MCP with Pydantic AI", "toolkit": "Doppler", "toolkit_slug": "doppler", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/doppler/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/doppler/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:31:11.666Z" } ``` ## Introduction This guide walks you through connecting Doppler to Pydantic AI using the Composio tool router. By the end, you'll have a working Doppler agent that can get secrets for staging environment in doppler, add a new secret to marketing project, list all projects and their environments through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Doppler account through Composio's Doppler MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Doppler with - [ChatGPT](https://composio.dev/toolkits/doppler/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/doppler/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/doppler/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/doppler/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/doppler/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/doppler/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/doppler/framework/codex) - [Cursor](https://composio.dev/toolkits/doppler/framework/cursor) - [VS Code](https://composio.dev/toolkits/doppler/framework/vscode) - [OpenCode](https://composio.dev/toolkits/doppler/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/doppler/framework/openclaw) - [Hermes](https://composio.dev/toolkits/doppler/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/doppler/framework/cli) - [Google ADK](https://composio.dev/toolkits/doppler/framework/google-adk) - [LangChain](https://composio.dev/toolkits/doppler/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/doppler/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/doppler/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/doppler/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/doppler/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 Doppler - 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 Doppler 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 Doppler MCP server, and what's possible with it? The Doppler MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Doppler account. It provides structured and secure access so your agent can perform Doppler operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DOPPLER_AUTH_ME` | Get Authenticated User Info | Tool to retrieve information about the authenticated user or token. Use when you need to verify authentication status or get details about the current token's workplace and permissions. | | `DOPPLER_CONFIG_LOGS_GET` | Get Config Log | Tool to retrieve a specific config log from Doppler. Use when you need to view details about a particular configuration change or event. | | `DOPPLER_CONFIG_LOGS_LIST` | List Config Logs | Tool to retrieve configuration change logs for a specific config in a project. Use when you need to view the history of configuration changes, track who made changes, or identify rollback actions. | | `DOPPLER_CONFIGS_GET` | Get Config | Tool to retrieve a specific Doppler config by project and config name. Use when you need to get configuration details for a specific project environment. | | `DOPPLER_LIST_DOPPLER_CONFIGS` | List Doppler Configs | Tool to list configurations from a Doppler project. Use when you need to retrieve all configs or filter by environment. Supports pagination for large result sets. | | `DOPPLER_CREATE_ENCRYPTED_SHARE_LINK` | Create Encrypted Share Link | Tool to generate a Doppler Share link by sending an encrypted secret. Use when you need to securely share secrets with end-to-end encryption. The receive flow is end-to-end encrypted where the encrypted secret will be decrypted on the recipient's browser. | | `DOPPLER_CREATE_PLAIN_TEXT_SHARE_LINK` | Create Plain Text Share Link | Tool to generate a Doppler Share link by sending a plain text secret. Use when you need to securely share secrets with expiration controls. The secret is not stored in plain text by Doppler; the receive flow is end-to-end encrypted where the encrypted secret is decrypted in the browser. | | `DOPPLER_LIST_ENVIRONMENTS` | List Environments | Tool to list all environments in a Doppler project. Use when you need to retrieve the environments available in a specific project. | | `DOPPLER_LIST_INTEGRATIONS` | List Integrations | Tool to retrieve all existing integrations in Doppler. Use when you need to list all configured integrations. | | `DOPPLER_LIST_CHANGE_REQUESTS` | List Change Requests | Tool to list existing change requests in the Doppler workplace. Use when you need to retrieve all change requests and their current status. | | `DOPPLER_GET_PROJECT_ROLE` | Get Project Role | Tool to retrieve details of a specific project role in Doppler. Use when you need to get information about a role's permissions and metadata. | | `DOPPLER_LIST_PROJECT_ROLES` | List Project Roles | Tool to list all available project roles in Doppler. Use when you need to retrieve all roles for permission management or to see what roles are available. | | `DOPPLER_LIST_PROJECT_ROLE_PERMISSIONS` | List Project Role Permissions | Tool to list all available permissions for project roles in Doppler. Use when you need to see what permissions can be assigned to custom project roles. | | `DOPPLER_GET_PROJECT_DETAILS` | Get Project Details | Tool to retrieve details of a specific Doppler project by its identifier. Use when you need to get project metadata including name, description, and creation timestamp. | | `DOPPLER_LIST_DOPPLER_PROJECTS` | List Doppler Projects | Tool to list all Doppler projects in your workspace. Use when you need to retrieve available projects for configuration management or to get project details. | | `DOPPLER_DELETE_SECRET` | Delete Secret | Tool to delete a secret from a Doppler config. Use when you need to permanently remove a secret from a specific project and config. | | `DOPPLER_DOWNLOAD_SECRETS` | Download Secrets | Tool to download secrets from a Doppler config in various formats. Use when you need to retrieve all secrets or a subset of secrets from a specific project and config. Supports multiple output formats and name transformations. | | `DOPPLER_GET_SECRET` | Get Secret | Tool to retrieve a specific secret from a Doppler project config. Use when you need to get the value of a specific secret including its raw and computed values. | | `DOPPLER_LIST_DOPPLER_SECRETS` | List Doppler Secrets | Tool to list all secrets for a specific Doppler config within a project. Use when you need to retrieve secret values and metadata. Returns both raw and computed values for each secret, along with visibility settings and optional notes. | | `DOPPLER_LIST_SECRET_NAMES` | List Secret Names | Tool to retrieve the list of secret names from a specific Doppler config. Use when you need to list available secret names without their values. | | `DOPPLER_UPDATE_DOPPLER_SECRETS` | Update Doppler Secrets | Tool to update secrets in a Doppler config. Use when you need to create or update secret values in a specific project and config. | | `DOPPLER_UPDATE_SECRET_NOTE` | Update Secret Note | Tool to update a note for a secret in Doppler. Use when you need to add or modify documentation for a specific secret. The note will be applied to the specified secret across all environments in the project. | | `DOPPLER_GET_WORKPLACE_INFORMATION` | Get Workplace Information | Tool to retrieve workplace information from Doppler. Use when you need to get workplace details including ID, name, billing email, and security email. | | `DOPPLER_GET_WORKPLACE_ROLE` | Get Workplace Role | Tool to retrieve workplace role information from Doppler. Use when you need to get details about a specific role including its permissions and metadata. | | `DOPPLER_LIST_WORKPLACE_ROLES` | List Workplace Roles | Tool to list all workplace roles in your Doppler workspace. Use when you need to retrieve available workplace roles for user management or permission configuration. | | `DOPPLER_LIST_WORKPLACE_PERMISSIONS` | List Workplace Permissions | Tool to retrieve all available workplace permissions in Doppler. Use when you need to view the list of permissions that can be assigned to workplace roles. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Doppler MCP server is an implementation of the Model Context Protocol that connects your AI agent to Doppler. It provides structured and secure access so your agent can perform Doppler 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 Doppler - 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 Doppler - MCPServerStreamableHTTP connects to the Doppler 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 Doppler 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 Doppler composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["doppler"], ) 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 Doppler endpoint - The agent uses GPT-5 to interpret user commands and perform Doppler operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent doppler_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[doppler_mcp], instructions=( "You are a Doppler assistant. Use Doppler 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 - Doppler 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 Doppler.\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 Doppler composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["doppler"], ) 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 doppler_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[doppler_mcp], instructions=( "You are a Doppler assistant. Use Doppler 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 Doppler.\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 Doppler through Composio's Tool Router. With this setup, your agent can perform real Doppler 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 + Doppler 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 Doppler MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/doppler/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/doppler/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/doppler/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/doppler/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/doppler/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/doppler/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/doppler/framework/codex) - [Cursor](https://composio.dev/toolkits/doppler/framework/cursor) - [VS Code](https://composio.dev/toolkits/doppler/framework/vscode) - [OpenCode](https://composio.dev/toolkits/doppler/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/doppler/framework/openclaw) - [Hermes](https://composio.dev/toolkits/doppler/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/doppler/framework/cli) - [Google ADK](https://composio.dev/toolkits/doppler/framework/google-adk) - [LangChain](https://composio.dev/toolkits/doppler/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/doppler/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/doppler/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/doppler/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/doppler/framework/crew-ai) ## Related Toolkits - [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. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place. - [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences. - [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses. - [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction. - [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place. - [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines. - [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure. - [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Doppler MCP? With a standalone Doppler MCP server, the agents and LLMs can only access a fixed set of Doppler tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Doppler 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 Doppler tools. ### Can I manage the permissions and scopes for Doppler while using Tool Router? Yes, absolutely. You can configure which Doppler 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 Doppler 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)