How to Use the Mention MCP in CrewAI

Q: Can my CrewAI crew generate statistics from Mention?

Absolutely. An analyst agent can call getalertstatistics to summarize performance. This data is then shared with the rest of the crew for decision-making.

Q: Is it possible for CrewAI to list recent mentions?

Yes. The listrecentmentions tool is standard for any research-focused crew. Your agents will pull the latest data and perform their assigned tasks.

Deploy autonomous research crews with CrewAI and the Mention MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mention MCP to CrewAI

Create your Vinkius account to connect Mention to CrewAI 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 Mention with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized monitoring agents

Assign a researcher agent to scan for keywords using `search_mentions_by_keyword`. This agent focuses entirely on gathering raw data while other crew members handle analysis. It stops your agents from getting overwhelmed by noise. By splitting the work, your crew stays focused on finding relevant mentions.

Automated reputation moderation

Empower a moderator agent to take action on findings. It uses `mark_mention_as_read` or `favorite_mention` to organize the feed as it processes items. This keeps your dashboard clean without human touch. The agent sorts the wheat from the chaff, leaving you with only the mentions that actually matter.

Team-wide alert oversight

Use `list_monitoring_alerts` to give your crew a view of what is currently tracked. The agents can compare these against new trends and suggest adjustments. It allows the crew to manage its own scope. If a topic loses relevance, the agent can suggest using `remove_monitoring_alert` to clean up the queue.

Setup guide

Set up Mention MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mention tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mention Analyst",
    goal="Access and analyze Mention data via MCP.",
    backstory="Expert analyst with direct Mention access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Mention transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Mention Analyst",
        goal="Access and analyze Mention data via MCP.",
        backstory="Expert analyst with direct Mention access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Mention transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 Mention. 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 Mention 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 Mention MCP in CrewAI

You provide the server URL in your agent definition. CrewAI connects directly to the MCP Server, giving your agents access to the full toolset.

Absolutely. An analyst agent can call `get_alert_statistics` to summarize performance. This data is then shared with the rest of the crew for decision-making.

Yes. The `list_recent_mentions` tool is standard for any research-focused crew. Your agents will pull the latest data and perform their assigned tasks.

All traffic is encrypted and ephemeral. Your mention content is processed in a secure sandbox and discarded immediately after the agent finishes.

Yes. We use a zero-trust model where your credentials are never exposed to the agents. Only the authorized endpoint token is used to facilitate requests.

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