Pusher Channels MCP Server for CrewAIGive CrewAI instant access to 6 tools to Get Channel, List Channel Users, List Channels, and more

Name: Pusher Channels
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Pusher Channels MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Pusher Channels Specialist",
    goal="Help users interact with Pusher Channels effectively",
    backstory=(
        "You are an expert at leveraging Pusher Channels 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 Pusher Channels "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About Pusher Channels MCP Server

Connect your Pusher Channels infrastructure to any AI agent to orchestrate real-time messaging and monitor your application's pub/sub health through natural language.

When paired with CrewAI, Pusher Channels becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Pusher Channels 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

Event Broadcasting — Trigger single or batch events across multiple channels with custom JSON payloads to update your frontend instantly.
Channel Monitoring — List all active channels, filter by prefix, and fetch specific metadata like subscription counts or user counts.
Presence Management — Retrieve lists of user IDs currently subscribed to presence channels to understand real-time engagement.
Session Control — Terminate all active WebSocket connections for a specific user ID to handle security incidents or forced logouts.
State Inspection — Query the detailed state of any specific channel to debug message flow or connection metrics.

The Pusher Channels MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Pusher Channels tools available for CrewAI

When CrewAI connects to Pusher Channels through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time, websockets, pub-sub, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get channel on Pusher Channels

Fetch information for a specific channel

list

List channel users on Pusher Channels

Fetch users in a presence channel

list

List channels on Pusher Channels

Fetch multiple channels

terminate

Terminate user connections on Pusher Channels

Terminate all connections for a user

trigger

Trigger batch events on Pusher Channels

Trigger multiple events in a single batch

trigger

Trigger event on Pusher Channels

Max 10KB data payload. Trigger an event on one or more channels

Connect Pusher Channels to CrewAI via MCP

Follow these steps to wire Pusher Channels into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Pusher Channels

Why Use CrewAI with the Pusher Channels MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Pusher Channels 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

Pusher Channels + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Pusher Channels 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 Pusher Channels, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Pusher Channels 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 Pusher Channels against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Pusher Channels in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Pusher Channels immediately.

"Trigger a 'new-order' event on the 'orders' channel with data '{"id": 123, "total": 50.00}'."

"List all active channels that start with 'presence-'."

"Terminate all connections for user ID 'user_999'."

Troubleshooting Pusher Channels MCP Server with CrewAI

Common issues when connecting Pusher Channels to CrewAI through 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.

Pusher Channels + CrewAI FAQ

Common questions about integrating Pusher Channels 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.