# How to integrate Pdf co MCP with Pydantic AI

```json
{
  "title": "How to integrate Pdf co MCP with Pydantic AI",
  "toolkit": "Pdf co",
  "toolkit_slug": "pdf_co",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/pdf_co/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/pdf_co/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:21:38.259Z"
}
```

## Introduction

This guide walks you through connecting Pdf co to Pydantic AI using the Composio tool router. By the end, you'll have a working Pdf co agent that can extract invoice data from uploaded pdf file, convert excel spreadsheet at url to json, generate a qr code for a payment link through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Pdf co account through Composio's Pdf co MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Pdf co with

- [ChatGPT](https://composio.dev/toolkits/pdf_co/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/pdf_co/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pdf_co/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pdf_co/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pdf_co/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pdf_co/framework/codex)
- [Cursor](https://composio.dev/toolkits/pdf_co/framework/cursor)
- [VS Code](https://composio.dev/toolkits/pdf_co/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/pdf_co/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/pdf_co/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pdf_co/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/pdf_co/framework/cli)
- [Google ADK](https://composio.dev/toolkits/pdf_co/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pdf_co/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pdf_co/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pdf_co/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pdf_co/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pdf_co/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 Pdf co
- 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 Pdf co 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 Pdf co MCP server, and what's possible with it?

The Pdf co MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pdf co account. It provides structured and secure access to your PDF.co capabilities, so your agent can extract data, generate documents, convert files, process barcodes, and manage asynchronous jobs on your behalf.
- Automated PDF data extraction and parsing: Let your agent extract structured data from PDFs using templates or parse documents for key information—perfect for receipts, invoices, and more.
- PDF creation, splitting, and merging: Generate new PDF files, combine multiple PDFs, or split documents into separate files without manual intervention.
- File format conversion: Seamlessly convert Excel files to CSV, HTML, JSON, text, or XML, enabling efficient data analysis and workflow automation.
- Barcode generation and processing: Instantly create various barcode formats (QR codes, Code128, PDF417, etc.) or encode data into barcodes for labeling and tracking.
- Job management and file uploads: Upload documents to PDF.co, track the status of asynchronous jobs, and retrieve results—all through your agent, hands-free.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PDF_CO_ACCOUNT_BALANCE_INFO` | Get Account Balance Info | Tool to get account balance info. Use after authenticating to check remaining credits. |
| `PDF_CO_CONVERT_EXCEL_TO_CSV` | Convert Excel to CSV | Tool to convert an Excel file (XLS/XLSX) to CSV. Use when you have a public Excel file URL and need CSV output. Inline option returns data inline; otherwise provides download URL. |
| `PDF_CO_CONVERT_EXCEL_TO_HTML` | Convert Excel to HTML | Tool to convert an Excel file to HTML. Use when you have an Excel URL and need HTML output. |
| `PDF_CO_CONVERT_EXCEL_TO_JSON` | Convert Excel to JSON | Tool to convert an online Excel or CSV file to JSON format. Use when you have a public file URL and need structured data extraction. |
| `PDF_CO_CONVERT_EXCEL_TO_TEXT` | Convert Excel to Text | Tool to convert Excel files to plain text. Use after providing an Excel file URL to extract spreadsheet content. |
| `PDF_CO_CONVERT_EXCEL_TO_XML` | Convert Excel to XML | Tool to convert an Excel file to XML. Use when needing XML output from xls/xlsx/csv synchronously or asynchronously. |
| `PDF_CO_DOCUMENT_PARSER` | Document Parser | Tool to parse documents based on predefined templates to extract structured data. Use when you need to extract structured fields from a PDF by supplying a custom template. |
| `PDF_CO_FILE_UPLOAD` | Upload File | Tool to upload a local file or remote URL to PDF.co, returning a hosted URL for downstream processing. Use when a PDF.co tool (e.g., PDF_CO_PDF_FROM_HTML) requires a remote URL but you have a local file. |
| `PDF_CO_JOB_CHECK` | Check Job Status | Tool to check status and result of an asynchronous job. Use after submitting a job to poll for completion. |
| `PDF_CO_PDF_ADD` | Add Content to PDF | Tool to add content to an existing PDF. Use when you need to overlay text, images, barcodes, or links before distributing the file. |
| `PDF_CO_PDF_CHANGE_TEXT_SEARCHABLE` | Change PDF Text Searchable | Tool to make PDF text searchable using OCR. Use when you need to add a searchable text layer to scanned or image-only PDF documents. |
| `PDF_CO_BARCODE_GENERATE` | Generate Barcode | Tool to generate high quality barcode images in 45+ formats including QR Code, Code 128, Code 39, and more. Use when you need to create barcodes with customization options like rotation, decoration images for QR codes, or async processing. |
| `PDF_CO_PDFCO_POST_FILE_UPLOAD_BASE64` | Upload File from Base64 | Tool to create a temporary file using base64-encoded source data. Use when you need to upload file content as base64 to PDF.co for downstream processing. Temporary files are automatically deleted after 1 hour (or custom expiration time). |
| `PDF_CO_PDF_DELETE_PAGES` | Delete PDF Pages | Tool to delete specific pages from a PDF file. Use when you need to remove unwanted pages before further processing. |
| `PDF_CO_PDF_EXTRACT_ATTACHMENTS` | Extract PDF Attachments | Tool to extract embedded attachments from a PDF. Use when you need to retrieve embedded files from a PDF after uploading. |
| `PDF_CO_PDF_FIND` | Find Text in PDF | Tool to find text in a PDF document. Use when you need to locate keywords or regex patterns and get their page positions. |
| `PDF_CO_PDF_FORMS_INFO_READER` | PDF Forms Info Reader | Tool to extract form field information from a PDF. Use when you need to retrieve names, types, and values of form fields. Returns field names, types (CheckBox, EditBox, RadioButton, ComboBox), values, and position coordinates. |
| `PDF_CO_PDF_FROM_DOCUMENT_TXT` | Convert Text to PDF | Tool to convert a plain text (.txt) file to PDF. Use when you have a public URL to a text file; raw inline text is not accepted by the endpoint. |
| `PDF_CO_PDF_FROM_EMAIL` | Convert Email to PDF | Tool to convert email files (.eml/.msg) to PDF. Use when you need to transform standalone email messages into PDF documents. |
| `PDF_CO_PDF_FROM_HTML` | Convert HTML to PDF | Tool to convert HTML code or webpage URL into a PDF document. Use when you need to capture a webpage or HTML snippet as a PDF file. |
| `PDF_CO_PDF_INFO_READER` | PDF Info Reader | Tool to retrieve detailed information and metadata of a PDF. Use when you need page count, author, encryption details, and other document properties. |
| `PDF_CO_PDF_MERGE` | Merge PDFs | Tool to merge multiple PDF files into one document. Use when you need to combine several PDF URLs into a single PDF file. |
| `PDF_CO_PDF_ROTATE` | Rotate PDF Pages | Tool to rotate selected pages in a PDF. Use when you need to adjust the orientation of specific pages in an online PDF file before further processing. |
| `PDF_CO_PDF_SEARCH_AND_DELETE_TEXT` | Search and Delete Text in PDF | Tool to search for and delete text in a PDF by keyword or regex. Use when you need to remove sensitive or unwanted text from a PDF document. |
| `PDF_CO_PDF_SEARCH_AND_REPLACE_TEXT` | Search and Replace Text in PDF | Tool to search for and replace text in a PDF document. Use when you need to update specific text instances within an existing PDF file (e.g., changing invoice numbers). |
| `PDF_CO_PDF_SPLIT` | Split PDF | Tool to split a PDF into multiple files by page ranges. Use when you need to extract specific pages or page ranges from a PDF. |
| `PDF_CO_PDF_TO_CSV` | Convert PDF to CSV | Tool to convert PDF or scanned images to CSV format. Use when you need to extract tabular data from a PDF into CSV format. |
| `PDF_CO_PDF_TO_HTML` | Convert PDF to HTML | Tool to convert PDF documents to HTML. Use when you need an HTML rendition of a PDF or scanned image. |
| `PDF_CO_PDF_TO_IMAGE` | Convert PDF to Image | Tool to convert PDF pages to images (PNG, JPG, TIFF). Use when you need image previews of PDF content. |
| `PDF_CO_PDF_TO_JSON` | Convert PDF to JSON | Tool to convert PDF or scanned images to JSON format. Use when you need a structured JSON representation of PDF content. |
| `PDF_CO_PDF_TO_TEXT` | Convert PDF to Text | Tool to convert PDF or scanned images to plain text. Use when you need raw text output preserving layout. |
| `PDF_CO_PDF_TO_XLS` | Convert PDF to XLS | Tool to convert PDF or scanned images to XLS format. Use when you need to extract tabular data into an Excel spreadsheet. |
| `PDF_CO_PDF_TO_XLSX` | Convert PDF to XLSX | Tool to convert PDF or scanned images to XLSX (Excel) format. Use when you need structured spreadsheet output from a PDF. |
| `PDF_CO_PDF_TO_XML` | Convert PDF to XML | Tool to convert PDF or scanned images to XML format. Use when you need to extract structured data from PDF into XML. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Pdf co MCP server is an implementation of the Model Context Protocol that connects your AI agent to Pdf co. It provides structured and secure access so your agent can perform Pdf co 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 Pdf co
- 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 Pdf co
- MCPServerStreamableHTTP connects to the Pdf co 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 Pdf co 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 Pdf co
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["pdf_co"],
    )
    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 Pdf co endpoint
- The agent uses GPT-5 to interpret user commands and perform Pdf co operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
pdf_co_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[pdf_co_mcp],
    instructions=(
        "You are a Pdf co assistant. Use Pdf co 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
- Pdf co 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 Pdf co.\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 Pdf co
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["pdf_co"],
    )
    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
    pdf_co_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[pdf_co_mcp],
        instructions=(
            "You are a Pdf co assistant. Use Pdf co 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 Pdf co.\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 Pdf co through Composio's Tool Router. With this setup, your agent can perform real Pdf co 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 + Pdf co 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 Pdf co MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/pdf_co/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/pdf_co/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pdf_co/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pdf_co/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pdf_co/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pdf_co/framework/codex)
- [Cursor](https://composio.dev/toolkits/pdf_co/framework/cursor)
- [VS Code](https://composio.dev/toolkits/pdf_co/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/pdf_co/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/pdf_co/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pdf_co/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/pdf_co/framework/cli)
- [Google ADK](https://composio.dev/toolkits/pdf_co/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pdf_co/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pdf_co/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pdf_co/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pdf_co/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pdf_co/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 Pdf co MCP?

With a standalone Pdf co MCP server, the agents and LLMs can only access a fixed set of Pdf co tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pdf co 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 Pdf co tools.

### Can I manage the permissions and scopes for Pdf co while using Tool Router?

Yes, absolutely. You can configure which Pdf co 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 Pdf co data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
