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 CrewAI 10 tools — connect in under 2 minutes

Name: Agora
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Agora through Vinkius, pass the Edge URL in the `mcps` parameter and every Agora tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Agora Specialist",
    goal="Help users interact with Agora effectively",
    backstory=(
        "You are an expert at leveraging Agora tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Agora "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Agora becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Agora tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Agora MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Agora

Why Use CrewAI with the Agora MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Agora through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Agora + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Agora for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Agora, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Agora tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Agora against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Agora MCP Tools for CrewAI (10)

These 10 tools become available when you connect Agora to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Agora + CrewAI FAQ

Common questions about integrating Agora MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.