Can I automatically list all active users in an Agora channel?

Yes! Use the `list_channel_users` tool with the project AppID and the target Channel Name. Your agent will return a list of UIDs currently connected to that session.

How do I start a cloud recording session via the AI agent?

Use the `start_cloud_recording` tool with the necessary parameters (AppID, Channel Name, and recording config). The agent will trigger the Agora cloud recording engine and return the Resource ID and SID.

Can I monitor the total minutes consumed by my project this month?

Yes! The `get_usage_metrics` tool retrieves granular consumption data, including audio and video minutes, filtered by date range or project.

Agora MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Agora
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Agora through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Agora "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Agora?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Agora MCP Server

Connect your AI agents to Agora, the leading real-time engagement platform for video, voice, and interactive streaming. This MCP provides 10 tools to manage communication channels, orchestrate cloud recording sessions, and monitor granular usage metrics programmatically.

Pydantic AI validates every Agora tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Channel Orchestration — Create and manage RTC (Real-Time Communication) channels and list active users within each session
Cloud Recording — Start, stop, and query the status of cloud recording tasks for archival or auditing purposes
Usage Monitoring — Retrieve detailed metrics on minutes consumed, bandwidth, and concurrent user peaks
Project Insights — List and inspect project configurations, including AppIDs and token settings, directly from your agent
Rule Management — Configure channel-level rules and settings to optimize the interactive experience

The Agora MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Agora to Pydantic AI via MCP

Follow these steps to integrate the Agora MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Agora with type-safe schemas

Why Use Pydantic AI with the Agora MCP Server

Pydantic AI provides unique advantages when paired with Agora through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Agora integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Agora connection logic from agent behavior for testable, maintainable code

Agora + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Agora MCP Server delivers measurable value.

Type-safe data pipelines: query Agora with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Agora tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Agora and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Agora responses and write comprehensive agent tests

Agora MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Agora to Pydantic AI via MCP:

acquire_cloud_recording

Required before starting. Request a resource ID for cloud recording

create_project

Create a new Agora project

get_project_details

Get detailed information for a specific project

get_usage_stats

Query usage data for a specific project

list_active_calls

List ongoing calls and sessions

list_projects

List all Agora projects in your console

list_whiteboard_rooms

List active Interactive Whiteboard rooms

query_cloud_recording

Check the status of an active recording

start_cloud_recording

Start recording a channel to the cloud

stop_cloud_recording

Stop an ongoing cloud recording

Example Prompts for Agora in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Agora immediately.

"List all users currently connected to Agora channel 'room_101' in project 'app_abc'."

"Start a cloud recording for channel 'webinar_live' with AppID 'my_agora_app_id'."

"Show my project's RTC usage for the last 7 days."

Troubleshooting Agora MCP Server with Pydantic AI

Common issues when connecting Agora to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Agora + Pydantic AI FAQ

Common questions about integrating Agora MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Agora MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.