How do I find my Mention Access Token and Account ID?

Log in to Mention, navigate to Developer settings to generate a Personal Access Token. Your Account ID is shown in your account settings.

What social platforms are monitored?

Mention monitors news, blogs, forums, Twitter, Instagram, Facebook, and various other web sources.

Is my monitoring data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Mention MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Mention
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Mention through Vinkius, pass the Edge URL in the `mcps` parameter and every Mention 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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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mention Specialist",
    goal="Help users interact with Mention effectively",
    backstory=(
        "You are an expert at leveraging Mention 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 Mention "
        "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 Mention MCP Server

Connect your Mention account to any AI agent and take full control of your social monitoring and brand alerts through natural conversation.

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

Alert Management — List all active monitoring alerts and fetch detailed configuration metadata
Mention Tracking — Retrieve recent social media mentions, filter for favorites, and search by text
Deep Inspection — Fetch full content, metadata, and sentiment analysis for specific mentions
Brand Analytics — Access volume and sentiment statistics for your monitoring alerts instantly
Account Visibility — List authorized users and connected external social media accounts

The Mention 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 Mention to CrewAI via MCP

Follow these steps to integrate the Mention 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 Mention

Why Use CrewAI with the Mention MCP Server

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

Mention + CrewAI Use Cases

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

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

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

Mention MCP Tools for CrewAI (10)

These 10 tools become available when you connect Mention to CrewAI via MCP:

get_account_info

Get account information

get_alert

Get details for a specific alert

get_alert_statistics

Get statistics for an alert

get_mention_details

Get details for a specific mention

list_account_users

List users associated with the account

list_alerts

List all monitoring alerts

list_connected_external_accounts

) linked. List connected social accounts

list_favorite_mentions

List favorite mentions for an alert

list_mentions

List mentions for an alert

search_mentions

Search mentions by text

Example Prompts for Mention in CrewAI

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

"List all active alerts in my Mention account."

"Search mentions for 'artificial intelligence' in alert ID 123."

"Show volume statistics for my primary brand alert."

Troubleshooting Mention MCP Server with CrewAI

Common issues when connecting Mention 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.

Mention + CrewAI FAQ

Common questions about integrating Mention 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.