SleekFlow MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SleekFlow as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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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="sleekflow_agent",
tools=tools,
system_message=(
"You help users with SleekFlow. "
"7 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 SleekFlow MCP Server
Connect your SleekFlow platform to any AI agent to power up your conversational support, sales, and marketing. Read real-time chat threads spanning across multiple digital channels and dispatch replies without leaving your chat interface.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SleekFlow tools. Connect 7 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
- Unified Conversations — Track and retrieve ongoing chat histories across WhatsApp, Instagram, Telegram, and WeChat
- Direct Messaging — Compose and send outbound responses or proactive messages back to customers seamlessly
- Contact Management — List all synced contacts and get their deep profile metadata including CRM ties
- Chat Segmentation — View categorization labels to segment hot leads or identify VIP support customers
- Automation Overviews — Retrieve a list of your configured automation workflows and active chatbot trees
The SleekFlow MCP Server exposes 7 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 SleekFlow to AutoGen via MCP
Follow these steps to integrate the SleekFlow 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 7 tools from SleekFlow automatically
Why Use AutoGen with the SleekFlow MCP Server
AutoGen provides unique advantages when paired with SleekFlow through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SleekFlow tools to solve complex tasks
Role-based architecture lets you assign SleekFlow 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 SleekFlow tool calls
Code execution sandbox: AutoGen agents can write and run code that processes SleekFlow tool responses in an isolated environment
SleekFlow + AutoGen Use Cases
Practical scenarios where AutoGen combined with the SleekFlow MCP Server delivers measurable value.
Collaborative analysis: one agent queries SleekFlow while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from SleekFlow, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using SleekFlow data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process SleekFlow responses in a sandboxed execution environment
SleekFlow MCP Tools for AutoGen (7)
These 7 tools become available when you connect SleekFlow to AutoGen via MCP:
get_contact_details
Retrieves details for a specific contact
list_automation_flows
Lists available automation flows
list_channels
Lists all connected communication channels
list_contact_labels
Lists all labels used for contact categorization
list_contacts
Lists all contacts in SleekFlow
list_conversations
Lists all conversations across channels
send_message
Sends a message in a conversation
Example Prompts for SleekFlow in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with SleekFlow immediately.
"Show me all unread conversations from this weekend."
"Send a reply to conversation conv-xxxx saying 'Your refund has been processed. It will appear in 3-5 business days.'"
Troubleshooting SleekFlow MCP Server with AutoGen
Common issues when connecting SleekFlow to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"SleekFlow + AutoGen FAQ
Common questions about integrating SleekFlow 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 SleekFlow 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.
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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 SleekFlow to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.