# How to integrate Ocrspace MCP with Autogen ```json { "title": "How to integrate Ocrspace MCP with Autogen", "toolkit": "Ocrspace", "toolkit_slug": "ocrspace", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/ocrspace/framework/autogen", "markdown_url": "https://composio.dev/toolkits/ocrspace/framework/autogen.md", "updated_at": "2026-05-12T10:20:29.062Z" } ``` ## Introduction This guide walks you through connecting Ocrspace to AutoGen using the Composio tool router. By the end, you'll have a working Ocrspace agent that can extract text from a scanned receipt image, convert a pdf invoice to editable text, get all words from a business card photo through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Ocrspace account through Composio's Ocrspace MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ocrspace with - [OpenAI Agents SDK](https://composio.dev/toolkits/ocrspace/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ocrspace/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ocrspace/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ocrspace/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ocrspace/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ocrspace/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ocrspace/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ocrspace/framework/cli) - [Google ADK](https://composio.dev/toolkits/ocrspace/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ocrspace/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ocrspace/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ocrspace/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ocrspace/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ocrspace/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Ocrspace - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Ocrspace tools - Run a live chat loop where you ask the agent to perform Ocrspace operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Ocrspace MCP server, and what's possible with it? The Ocrspace MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ocrspace account. It provides structured and secure access to advanced OCR capabilities, so your agent can extract text from images, PDFs, and scanned documents, automate data capture, and process files for text recognition on your behalf. - Text extraction from images: Instantly have your agent pull readable text from photos, screenshots, or scanned image files using OCR technology. - PDF document parsing: Let your agent process PDF files—single or multi-page—to extract all embedded text, even from complex layouts. - Automated data digitization: Turn printed or handwritten information in images and PDFs into digital, searchable text with a single agent command. - Multi-language text recognition: Enable your agent to identify and extract text in multiple languages from diverse document types. - Batch file processing: Have your agent handle and convert multiple images or documents at once, streamlining bulk OCR workflows. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `OCRSPACE_GET_CONVERSIONS` | Get Conversion Statistics | Retrieve OCR API conversion statistics and usage data (PRO accounts only). Returns the number of conversions for Engine1, Engine2, and total conversions. Data is updated once daily and shows conversions from start of month to end of yesterday. Free API keys will return 0 conversions. | | `OCRSPACE_OCR_PARSE_IMAGE_POST` | Extract Text from Image/PDF (OCR) | Extract text from images and PDF documents using OCR (Optical Character Recognition). Supports 27 languages, table recognition, orientation detection, and word-level coordinate extraction. Provide exactly one of `file`, `url`, or `base64Image`; providing multiple or none triggers E301/OCRExitCode 99. Input can be provided as file upload, public URL, or base64-encoded data URI. Response is nested JSON; extract text from `ParsedResults[*].ParsedText`. Returns extracted text with optional overlay coordinates and searchable PDF generation. For poor-quality scans, enable both `detectOrientation` and `scale` and ensure `language` matches the document. | | `OCRSPACE_PARSE_IMAGE_URL` | Extract Text from Image URL (GET) | Extract text from images via URL using simplified GET endpoint. Only supports URL-based submissions - no file uploads or base64 encoding. Faster and simpler than POST endpoint for basic use cases. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ocrspace MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Ocrspace. Instead of manually wiring Ocrspace APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Ocrspace account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Ocrspace via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Ocrspace connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Ocrspace tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Ocrspace session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["ocrspace"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Ocrspace tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Ocrspace assistant agent with MCP tools agent = AssistantAgent( name="ocrspace_assistant", description="An AI assistant that helps with Ocrspace operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Ocrspace tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Ocrspace related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Ocrspace session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["ocrspace"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Ocrspace assistant agent with MCP tools agent = AssistantAgent( name="ocrspace_assistant", description="An AI assistant that helps with Ocrspace operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Ocrspace related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Ocrspace through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Ocrspace, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Ocrspace MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ocrspace/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ocrspace/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ocrspace/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ocrspace/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ocrspace/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ocrspace/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ocrspace/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ocrspace/framework/cli) - [Google ADK](https://composio.dev/toolkits/ocrspace/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ocrspace/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ocrspace/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ocrspace/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ocrspace/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ocrspace/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 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. - [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. - [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. - [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently. - [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price. - [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere. - [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code. - [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more. - [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place. - [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work. - [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems. - [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project. - [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks. - [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API. - [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ocrspace MCP? With a standalone Ocrspace MCP server, the agents and LLMs can only access a fixed set of Ocrspace tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ocrspace and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen 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 Ocrspace tools. ### Can I manage the permissions and scopes for Ocrspace while using Tool Router? Yes, absolutely. You can configure which Ocrspace 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 Ocrspace data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)