Collect 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 Collect 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="collect_agent",
tools=tools,
system_message=(
"You help users with Collect. "
"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 Collect MCP Server
Connect your AI to Collect, the secure platform for gathering information and documents from clients.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Collect 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
- Campaign Management — List active data collection campaigns and check their completion status.
- Request Sending — Send new data requests to clients by email for KYC, onboarding, or compliance workflows.
- Status Tracking — Check the status of individual requests, view messages, and monitor completion.
The Collect 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 Collect to AutoGen via MCP
Follow these steps to integrate the Collect 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 Collect automatically
Why Use AutoGen with the Collect MCP Server
AutoGen provides unique advantages when paired with Collect through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Collect tools to solve complex tasks
Role-based architecture lets you assign Collect 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 Collect tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Collect tool responses in an isolated environment
Collect + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Collect MCP Server delivers measurable value.
Collaborative analysis: one agent queries Collect while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Collect, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Collect data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Collect responses in a sandboxed execution environment
Collect MCP Tools for AutoGen (10)
These 10 tools become available when you connect Collect to AutoGen via MCP:
create_request
Send a new data collection request to a recipient
get_campaign
Retrieve detailed information about a specific campaign
get_element_details
Retrieve details of a specific element (field/block) in a request
get_request
Retrieve details of a specific data request
get_team_info
Retrieve information about your team in Collect
get_user_info
Retrieve information about the currently authenticated user
list_campaigns
Retrieve a list of all data collection campaigns in Collect
list_messages
Retrieve a list of messages sent through Collect
list_requests
Retrieve all data requests for a specific campaign
send_message
Send a message to a recipient regarding a specific request
Example Prompts for Collect in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Collect immediately.
"Show me all active data collection campaigns."
"Send a data request to 'John Doe' (john@example.com) for the 'KYC Process' campaign."
"Send an automatic reminder to all clients with missing documents in the 'Tax 2025' campaign."
Troubleshooting Collect MCP Server with AutoGen
Common issues when connecting Collect to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Collect + AutoGen FAQ
Common questions about integrating Collect 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 Collect 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 Collect to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
