Hive (Project Management) 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 Hive (Project Management) 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="hive_project_management_agent",
tools=tools,
system_message=(
"You help users with Hive (Project Management). "
"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 Hive (Project Management) MCP Server
Connect your Hive account to any AI agent and take full control of your project management and team collaboration through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Hive (Project Management) 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
- Workspace Management — List all available workspaces and navigate across different tenant environments effortlessly
- Project Tracking — Analyze grouping schemas linking large initiatives and monitor the status of team projects directly from your agent
- Action Items — Create and list operational tasks (actions), linking precise items and checking team assignments in real-time
- Detailed Inspection — Retrieve exact metadata and structural details for specific action IDs to understand progress and blockers
- Taxonomy & Labels — Discover discrete visual categorizations and taxonomy matrices used to organize your workspace items
- Workflow Templates — Enumerate active repeatable workflows and action templates to maintain process consistency across your team
The Hive (Project Management) 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 Hive (Project Management) to AutoGen via MCP
Follow these steps to integrate the Hive (Project Management) 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 Hive (Project Management) automatically
Why Use AutoGen with the Hive (Project Management) MCP Server
AutoGen provides unique advantages when paired with Hive (Project Management) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Hive (Project Management) tools to solve complex tasks
Role-based architecture lets you assign Hive (Project Management) 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 Hive (Project Management) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Hive (Project Management) tool responses in an isolated environment
Hive (Project Management) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Hive (Project Management) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Hive (Project Management) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Hive (Project Management), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Hive (Project Management) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Hive (Project Management) responses in a sandboxed execution environment
Hive (Project Management) MCP Tools for AutoGen (7)
These 7 tools become available when you connect Hive (Project Management) to AutoGen via MCP:
create_action
Create action
get_action
Get action
list_actions
List actions
list_labels
List labels
list_projects
List projects
list_templates
List action templates
list_workspaces
List workspaces
Example Prompts for Hive (Project Management) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Hive (Project Management) immediately.
"List all projects in my 'Marketing' workspace (ID: ws-marketing)"
"Create a new action called 'Finalize Budget' in workspace 'ws-finance'"
"What are the action templates available in the 'Engineering' workspace?"
Troubleshooting Hive (Project Management) MCP Server with AutoGen
Common issues when connecting Hive (Project Management) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Hive (Project Management) + AutoGen FAQ
Common questions about integrating Hive (Project Management) 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?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Hive (Project Management) to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
