# How to integrate Rkvst MCP with Pydantic AI

```json
{
  "title": "How to integrate Rkvst MCP with Pydantic AI",
  "toolkit": "Rkvst",
  "toolkit_slug": "rkvst",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/rkvst/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/rkvst/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:24:16.606Z"
}
```

## Introduction

This guide walks you through connecting Rkvst to Pydantic AI using the Composio tool router. By the end, you'll have a working Rkvst agent that can download attachment from latest asset event, show details of asset by uuid, retrieve metadata for a specific event through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Rkvst account through Composio's Rkvst MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Rkvst with

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

The Rkvst MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rkvst account. It provides structured and secure access to your supply chain evidence data, so your agent can perform actions like retrieving asset details, verifying event authenticity, downloading attachments, and managing chain of custody records on your behalf.
- Asset and event retrieval: Instantly fetch detailed information about assets, events, or public assets by their unique identifiers, including historical state data.
- Chain of custody verification: Have your agent review event metadata and associated trails to ensure data authenticity and transparency throughout your supply chain.
- Download evidence attachments: Let your agent securely download raw binary attachments associated with supply chain events for auditing or record-keeping.
- App and member inspection: Effortlessly pull configuration and credential details for app registrations or retrieve member and IAM subject information to monitor access and permissions.
- Tenancy and blob management: Retrieve tenancy details or access specific data blobs related to your supply chain records for better oversight and control.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RKVST_DOWNLOAD_EVENT_ATTACHMENT` | Download Event Attachment | Tool to download an attachment from a specified Event on an Asset. Use when you have asset_uuid, event_uuid, and attachment uuid, and want the raw binary content. |
| `RKVST_GET_APP_REGISTRATION` | Get App Registration | Tool to retrieve details for a given App Registration ID. Use after obtaining the application's UUID to inspect its configuration and credentials. |
| `RKVST_GET_ASSET` | Get Asset | Tool to retrieve details for a given Asset. Use after you have its UUID; set `at_time` to get historical state. |
| `RKVST_GET_BLOB` | Get Blob | Tool to retrieve details of a Blob by ID. Use after confirming the Blob ID. |
| `RKVST_GET_EVENT` | Get Event | Tool to retrieve details of a specified Event. Use when you need full metadata, attributes, and associated trails of an existing event in DataTrails. |
| `RKVST_GET_IAM_SUBJECT` | Get IAM Subject | Tool to retrieve IAM subject details. Use when you need to fetch details for a specific IAM subject by its ID. |
| `RKVST_GET_MEMBER` | Get Member | Tool to retrieve details for a given Member ID. Use after obtaining a valid member UUID. |
| `RKVST_GET_PUBLIC_ASSET` | Get Public Asset | Tool to retrieve details for a public asset. Use when you have a public asset UUID. |
| `RKVST_GET_PUBLIC_ASSET_EVENT` | Get Public Asset Event | Tool to retrieve a specific public asset event. Use when you have public asset and event UUIDs. |
| `RKVST_GET_TENANCY` | Get Tenancy | Tool to retrieve details for a specific tenancy. Use after you have a tenancy ID. |
| `RKVST_LIST_APP_REGISTRATIONS` | List App Registrations | Tool to list all App Registrations. Use after acquiring a valid auth token to retrieve the applications registered under the tenant. |
| `RKVST_LIST_ASSET_EVENTS` | List Asset Events | Tool to list events for a specified asset. Use after confirming you have the asset UUID. |
| `RKVST_LIST_ASSETS` | List Assets | Tool to list all Assets with optional pagination and filters. Use when you need to retrieve asset metadata in batches via page_size and next_page_token. |
| `RKVST_LIST_IAM_SUBJECTS` | List IAM Subjects | Tool to list IAM subjects. Use when you need to retrieve provider-managed subjects, optionally filtering by display name. Use after authenticating the tenant. |
| `RKVST_LIST_MEMBERS` | List Members | Tool to list all tenant Members. Use when you need an overview of all users in your tenant. |
| `RKVST_LIST_PUBLIC_ASSET_EVENTS` | List Public Asset Events | Tool to list events for a specific public asset. Use when you need to retrieve the event history of a public asset after confirming its public availability. |
| `RKVST_LIST_PUBLIC_ASSETS` | List Public Assets | Tool to list all Public Assets. Use when you need to retrieve all assets made public. |
| `RKVST_LIST_TENANCIES` | List Tenancies | Tool to list all tenancies. Use after authenticating to retrieve the tenancy records available to the current tenant. |
| `RKVST_PROMOTE_MEMBER` | Promote Member | Tool to promote a tenant member to OWNER role. Use when you need to elevate permissions after verifying the member identity. |
| `RKVST_RETRIEVE_ASSET_ATTACHMENT_METADATA` | Retrieve asset attachment metadata | Tool to retrieve metadata for an attachment on a specified Asset. Use after obtaining asset and attachment UUIDs. |
| `RKVST_RETRIEVE_CAPS` | Retrieve Caps | Tool to retrieve resource limit quotas for a specified service. Use when checking quota availability before provisioning resources. |
| `RKVST_RETRIEVE_EVENT_ATTACHMENT_METADATA` | Retrieve Event Attachment Metadata | Tool to retrieve metadata for an attachment on a specified Event. Use when you have asset_uuid, event_uuid, and attachment uuid and need details like size, hash, and scan status. |
| `RKVST_SEARCH_EVENTS` | Search Events | Tool to search events matching filter criteria with pagination. Use when retrieving events by OData filter and paging through large result sets. |
| `RKVST_UPDATE_APP_REGISTRATION` | Update App Registration | Tool to update an application's display name or custom claims. Use after retrieving an App Registration to apply partial updates to its configuration. |

## Supported Triggers

None listed.

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

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

- [OpenAI Agents SDK](https://composio.dev/toolkits/rkvst/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/rkvst/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/rkvst/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/rkvst/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/rkvst/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/rkvst/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/rkvst/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/rkvst/framework/cli)
- [Google ADK](https://composio.dev/toolkits/rkvst/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/rkvst/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/rkvst/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/rkvst/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/rkvst/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/rkvst/framework/crew-ai)

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [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.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Rkvst MCP?

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

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

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

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