Clientjoy MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Clientjoy 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="clientjoy_agent",
tools=tools,
system_message=(
"You help users with Clientjoy. "
"8 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 Clientjoy MCP Server
Connect your Clientjoy account to any AI agent and take full control of your agency operations through natural conversation. Streamline how you manage the entire lifecycle from lead capture to final invoicing natively.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Clientjoy tools. Connect 8 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
- Lead Oversight — List and retrieve details for all sales leads and their capture status natively
- Contact Intelligence — Access and monitor all client contacts and relationship history flawlessly
- Invoicing Logistics — List all agency invoices and monitor their payment status flawlessly
- Project Management — Access and monitor all client projects and their constituent tasks securely
- Sales Pipelines — List and review quotes and proposals sent to potential clients flawlessly
- Profile Visibility — Access your own user profile and core workspace metadata directly within your workspace flawlessly
The Clientjoy MCP Server exposes 8 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 Clientjoy to AutoGen via MCP
Follow these steps to integrate the Clientjoy 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 8 tools from Clientjoy automatically
Why Use AutoGen with the Clientjoy MCP Server
AutoGen provides unique advantages when paired with Clientjoy through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Clientjoy tools to solve complex tasks
Role-based architecture lets you assign Clientjoy 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 Clientjoy tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Clientjoy tool responses in an isolated environment
Clientjoy + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Clientjoy MCP Server delivers measurable value.
Collaborative analysis: one agent queries Clientjoy while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Clientjoy, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Clientjoy data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Clientjoy responses in a sandboxed execution environment
Clientjoy MCP Tools for AutoGen (8)
These 8 tools become available when you connect Clientjoy to AutoGen via MCP:
get_contact_crm_details
Get detailed information for a specific contact
get_lead_crm_details
Get detailed information for a specific lead
get_my_clientjoy_profile
Retrieve information about the authenticated workspace user
list_agency_invoices
List all invoices and their payment status
list_agency_projects
List all client projects tracked in Clientjoy
list_clientjoy_contacts
List all contacts and clients stored in the CRM
list_clientjoy_leads
List all sales leads captured in Clientjoy
list_sales_quotes
List sales quotes and proposals sent to clients
Example Prompts for Clientjoy in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Clientjoy immediately.
"List all my new leads in Clientjoy."
"Show me my unpaid invoices."
"What is the status of the 'Website Redesign' project?"
Troubleshooting Clientjoy MCP Server with AutoGen
Common issues when connecting Clientjoy to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Clientjoy + AutoGen FAQ
Common questions about integrating Clientjoy 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 Clientjoy 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 Clientjoy to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
