Mention MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mention as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="mention_agent",
tools=tools,
system_message=(
"You help users with Mention. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mention tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Mention MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Mention automatically
Why Use AutoGen with the Mention MCP Server
AutoGen provides unique advantages when paired with Mention through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mention tools to solve complex tasks
Role-based architecture lets you assign Mention tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Mention tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mention tool responses in an isolated environment
Mention + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mention MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mention while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mention, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mention data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mention responses in a sandboxed execution environment
Mention MCP Tools for AutoGen (10)
These 10 tools become available when you connect Mention to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Mention to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mention + AutoGen FAQ
Common questions about integrating Mention MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Mention with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mention to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.