Jibble 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 Jibble 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="jibble_agent",
tools=tools,
system_message=(
"You help users with Jibble. "
"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 Jibble MCP Server
Empower your AI agents with Jibble's time tracking and attendance platform. This MCP server allows you to list time entries, retrieve person details, track activities and projects, and view organization information directly through the Jibble API. Ideal for automating workforce management and productivity analysis.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Jibble 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.
The Jibble 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 Jibble to AutoGen via MCP
Follow these steps to integrate the Jibble 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 Jibble automatically
Why Use AutoGen with the Jibble MCP Server
AutoGen provides unique advantages when paired with Jibble through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Jibble tools to solve complex tasks
Role-based architecture lets you assign Jibble 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 Jibble tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Jibble tool responses in an isolated environment
Jibble + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Jibble MCP Server delivers measurable value.
Collaborative analysis: one agent queries Jibble while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Jibble, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Jibble data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Jibble responses in a sandboxed execution environment
Jibble MCP Tools for AutoGen (10)
These 10 tools become available when you connect Jibble to AutoGen via MCP:
get_organization
Use to verify account-wide configuration. Retrieves organization details
get_person
Essential for detailed HR analysis of an individual team member. Retrieves details for a specific person
get_time_entry
Returns location data, activity notes, and associated device info. Use for auditing or correcting a specific employee time log. Retrieves details for a specific time entry
list_activities
g., "Meeting", "Development", "Break") that employees can select when clocking in. Useful for identifying high-level task categories. Lists all configured activities
list_clients
Useful for professional services tracking and billable hours auditing. Lists all configured clients
list_groups
g., "Sales Team", "Remote Workers") used to organize the workforce. Useful for group-based performance reporting. Lists all configured groups
list_locations
Useful for auditing site-based workforce distribution. Lists all configured locations
list_people
Includes names, emails, and internal IDs. Use this to identify personnel before querying their time entries. Lists all people in the organization
list_projects
Use this when the user asks for a project-based time breakdown. Lists all configured projects
list_time_entries
Returns employee IDs, entry times, and durations. Use this to monitor workforce activity and total work hours. Lists all time entries
Example Prompts for Jibble in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Jibble immediately.
"List all people in my Jibble organization."
"Show me the recent time entries."
"What are the active projects in Jibble?"
Troubleshooting Jibble MCP Server with AutoGen
Common issues when connecting Jibble to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Jibble + AutoGen FAQ
Common questions about integrating Jibble 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 Jibble with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Jibble to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.