Pumble 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 Pumble 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="pumble_agent",
tools=tools,
system_message=(
"You help users with Pumble. "
"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 Pumble MCP Server
Connect your Pumble workspace to any AI agent and bring powerful automation directly to your team's communication hub.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Pumble 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
- Read & Manage Channels — List all public and private channels, fetch detailed metadata, and dynamically create new discussion channels on the fly
- Message Operations — Retrieve conversation histories, post new messages, update typos, or delete outdated announcements seamlessly
- Interactive Reactions — Add emoji reactions to messages automatically to acknowledge requests without cluttering the chat
- User Directory — List all workspace users and pull detailed profiles (including emails and time zones) to ensure accurate tagging
The Pumble 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 Pumble to AutoGen via MCP
Follow these steps to integrate the Pumble 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 Pumble automatically
Why Use AutoGen with the Pumble MCP Server
AutoGen provides unique advantages when paired with Pumble through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Pumble tools to solve complex tasks
Role-based architecture lets you assign Pumble 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 Pumble tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Pumble tool responses in an isolated environment
Pumble + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Pumble MCP Server delivers measurable value.
Collaborative analysis: one agent queries Pumble while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Pumble, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Pumble data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Pumble responses in a sandboxed execution environment
Pumble MCP Tools for AutoGen (10)
These 10 tools become available when you connect Pumble to AutoGen via MCP:
chat_add_reaction
Adds an emoji reaction to a message
chat_delete_message
This action is irreversible. Deletes a message from a Pumble channel
chat_history_messages
Retrieves recent messages from a channel
chat_post_message
Specify the channel ID and the message text. Sends a message to a Pumble channel
chat_update_message
Updates a pre-existing message
create_chat_channel
Specify name and whether it should be private. Creates a new communication channel
get_channel_info
Retrieves detailed information about a specific channel
get_user_info
Retrieves detailed information for a specific user
list_all_channels
Lists all public and private channels available in the workspace
list_workspace_users
Lists all users in the Pumble workspace
Example Prompts for Pumble in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Pumble immediately.
"List all our active channels in Pumble."
"Post a message in the #dev-updates channel stating that 'Deployment 2.1 is completed'."
"Read the last 3 messages from #marketing-q4 and react to the last one with a 'thumbsup'."
Troubleshooting Pumble MCP Server with AutoGen
Common issues when connecting Pumble to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Pumble + AutoGen FAQ
Common questions about integrating Pumble 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 Pumble 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 Pumble to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
