How to Use the Agora MCP in Pydantic AI

Build type-safe Agora integrations with Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Agora MCP to Pydantic AI

Create your Vinkius account to connect Agora to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Agora with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validating Agora responses with Pydantic AI

Every tool call like `list_projects` is validated against a Pydantic model. If the Agora API returns unexpected fields, the system raises a validation error immediately. This stops your agent from hallucinating data. You get a clean, typed object that your application code can trust without extra parsing.

Handling Agora recordings in Pydantic AI

Use `acquire_cloud_recording` as the first step in your agent's workflow. The response is cast to a strict model, ensuring your resource ID is valid before any recording starts. `start_cloud_recording` then executes with verified parameters. If the API fails to return the expected status, your agent catches the error before it propagates.

Monitoring Agora rooms with Pydantic AI

The `list_whiteboard_rooms` tool returns a structured list of active sessions. Pydantic AI verifies the count and status of each room against your type definitions. It provides a safe way to audit your engagement layer. You catch API drifts as soon as they happen rather than waiting for downstream failures.

Setup guide

Set up Agora MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "agora-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Agora tools.",
)

result = await agent.run("List recent Agora transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agora. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Agora now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Agora MCP in Pydantic AI

Install the slim MCP package and initialize an MCPToolset with your Vinkius endpoint. Add it to your agent's toolsets list to enable type-safe calls.

The agent throws a validation error immediately. This prevents silent corruption and ensures your logic only runs on verified, structured data.

Yes, it supports both Streamable HTTP and SSE. You just point the toolset to your Vinkius endpoint and the agent handles the rest.

The MCP server must be running and accessible via your endpoint URL. Pydantic AI connects to it as a remote tool provider.

Authentication is handled at the Vinkius gateway with an ephemeral token. Your Agora API keys are never exposed to the agent logic or the Pydantic validation layer.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript