# How to integrate Oksign MCP with Pydantic AI ```json { "title": "How to integrate Oksign MCP with Pydantic AI", "toolkit": "Oksign", "toolkit_slug": "oksign", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/oksign/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/oksign/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:43:52.545Z" } ``` ## Introduction This guide walks you through connecting Oksign to Pydantic AI using the Composio tool router. By the end, you'll have a working Oksign agent that can send signature request for nda document, list all pending signature requests, download signed contract for order #12345 through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Oksign account through Composio's Oksign MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Oksign with - [OpenAI Agents SDK](https://composio.dev/toolkits/oksign/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/oksign/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/oksign/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/oksign/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/oksign/framework/codex) - [OpenClaw](https://composio.dev/toolkits/oksign/framework/openclaw) - [Hermes](https://composio.dev/toolkits/oksign/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/oksign/framework/cli) - [Google ADK](https://composio.dev/toolkits/oksign/framework/google-adk) - [LangChain](https://composio.dev/toolkits/oksign/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/oksign/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/oksign/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/oksign/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/oksign/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 Oksign - 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 Oksign 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 Oksign MCP server, and what's possible with it? The Oksign MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Oksign account. It provides structured and secure access so your agent can perform Oksign operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `OKSIGN_BRIEFCASE_REMOVE` | Remove Briefcase | Tool to remove a previously created briefcase from OKSign platform. Use when you need to delete a briefcase that is no longer needed. The briefcase is identified by the token received when it was created. | | `OKSIGN_BRIEFCASE_RETRIEVE` | Retrieve Briefcase Information | Tool to retrieve a previously uploaded briefcase tokeninfo for consultation. Use when you need to examine bundled document properties and signer requirements without re-creating the briefcase. | | `OKSIGN_CONTACTS_REMOVE` | Remove Contacts | Tool to remove specified contacts from the account's contact list. Use when you need to delete one or more contacts by providing their name and email. | | `OKSIGN_CONTACTS_RETRIEVE` | Retrieve Contacts | Tool to retrieve the list of contacts stored in the account. Use when you need to access all contacts with their details including name, email, mobile number, and role. | | `OKSIGN_UPLOAD_CONTACTS` | Upload Contacts | Tool to insert or update contact information in the account's contact list. Use when you need to add new contacts or update existing ones with details like name, email, phone, mobile, address, company, or identifier. | | `OKSIGN_RETRIEVE_ACCOUNT_CREDITS` | Retrieve Account Credits | Tool to retrieve account credit balance and storage information. Use when you need to check available credits or storage capacity. | | `OKSIGN_CHECK_DOCUMENT_EXISTS` | Check Document Exists | Tool to check if a signed or unsigned document still exists on the OKSign platform. Use when you need to verify document availability before performing operations. | | `OKSIGN_REMOVE_DOCUMENT` | Remove Document | Tool to remove a signed or unsigned document from the OKSign platform. Use when you need to delete a document and its signed copies from storage. Note: If document is removed immediately after signing while platform processes notifications, service may return FAILED status with retry message. | | `OKSIGN_UPLOAD_DOCUMENT` | Upload Document | Tool to upload a PDF or Word document to OKSign platform for completion and/or signing. Use when you need to add a new document that requires signatures. Maximum file size is 10 MB. Supported formats: PDF, DOC, DOCX. | | `OKSIGN_CREATE_EDITOR_EXPRESS_SESSION` | Create Editor Express Session | Tool to invoke the OKSign Editor Express for modifying documents and form descriptors. Use when you need to open documents in an interactive editor where users can add signature fields, form fields, and configure signing workflows. The editor URL returned can be embedded or redirected to within your application. | | `OKSIGN_UPLOAD_FORM_DESCRIPTOR` | Upload Form Descriptor | Tool to upload form descriptor defining signature fields and other field types to a document. Use when you need to add form fields, signature areas, and configure signing workflows for a document. | | `OKSIGN_GET_ACTIVE_DOCUMENTS` | Get Active Documents | Tool to retrieve all active document IDs and properties from OKsign account. Use when you need to list documents visible in the Active Documents tab. Note: Rate limited to 1 request per 3 minutes. | | `OKSIGN_RETRIEVE_LINKED_DOCUMENT_LIST` | Retrieve Linked Document List | Tool to retrieve the list of linked signed or source document IDs related to a specific document. Use when you need to find linked documents (either the signed version of a source document, or the source of a signed document). | | `OKSIGN_UPLOAD_NOTIFICATIONS` | Upload Notifications | Tool to upload notifications defining email(s) and/or SMS(es) to be sent to signer(s) with signing links. Use when you need to send notification emails or SMS messages to document signers. | | `OKSIGN_UPDATE_ORGANIZATION_TOKEN_INFO` | Update Organization Token Info | Tool to update organizational token information and settings for the account. Use when you need to configure or modify callback URL, webhook URL, or return URL for the organization's token. | | `OKSIGN_REMOVE_SIGNEXPRESS_TOKEN` | Remove SignExpress Token | Tool to remove a previously uploaded SignExpress tokeninfo JSONObject from the OKSign platform. Use when you need to clean up or invalidate a SignExpress token that was created for sign button integration. | | `OKSIGN_RETRIEVE_USERS` | Retrieve Users | Tool to retrieve the list of users associated with the OkSign account. Use when you need to get all users in an account. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Oksign MCP server is an implementation of the Model Context Protocol that connects your AI agent to Oksign. It provides structured and secure access so your agent can perform Oksign 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 Oksign - 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 Oksign - MCPServerStreamableHTTP connects to the Oksign 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 Oksign 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 Oksign composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["oksign"], ) 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 Oksign endpoint - The agent uses GPT-5 to interpret user commands and perform Oksign operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent oksign_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[oksign_mcp], instructions=( "You are a Oksign assistant. Use Oksign 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 - Oksign 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 Oksign.\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 Oksign composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["oksign"], ) 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 oksign_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[oksign_mcp], instructions=( "You are a Oksign assistant. Use Oksign 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 Oksign.\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 Oksign through Composio's Tool Router. With this setup, your agent can perform real Oksign 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 + Oksign 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 Oksign MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/oksign/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/oksign/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/oksign/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/oksign/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/oksign/framework/codex) - [OpenClaw](https://composio.dev/toolkits/oksign/framework/openclaw) - [Hermes](https://composio.dev/toolkits/oksign/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/oksign/framework/cli) - [Google ADK](https://composio.dev/toolkits/oksign/framework/google-adk) - [LangChain](https://composio.dev/toolkits/oksign/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/oksign/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/oksign/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/oksign/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/oksign/framework/crew-ai) ## Related Toolkits - [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. - [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. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease. - [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training. - [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses. - [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Oksign MCP? With a standalone Oksign MCP server, the agents and LLMs can only access a fixed set of Oksign tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Oksign 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 Oksign tools. ### Can I manage the permissions and scopes for Oksign while using Tool Router? Yes, absolutely. You can configure which Oksign 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 Oksign data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)