Insightly 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 Insightly as an MCP tool provider through the 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="insightly_agent",
tools=tools,
system_message=(
"You help users with Insightly. "
"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 Insightly MCP Server
Empower your AI agents to manage your customer relationships with Insightly. This MCP server allows you to list and retrieve contacts, organizations, opportunities, and projects directly through the Insightly API. Ideal for automating sales workflows and project tracking within your CRM.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Insightly tools. Connect 10 tools through the 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 Insightly 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 Insightly to AutoGen via MCP
Follow these steps to integrate the Insightly 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 Insightly automatically
Why Use AutoGen with the Insightly MCP Server
AutoGen provides unique advantages when paired with Insightly through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Insightly tools to solve complex tasks
Role-based architecture lets you assign Insightly 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 Insightly tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Insightly tool responses in an isolated environment
Insightly + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Insightly MCP Server delivers measurable value.
Collaborative analysis: one agent queries Insightly while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Insightly, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Insightly data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Insightly responses in a sandboxed execution environment
Insightly MCP Tools for AutoGen (10)
These 10 tools become available when you connect Insightly to AutoGen via MCP:
get_contact
Retrieves details for a specific contact
list_contacts
Lists all contacts in Insightly
list_events
Lists all calendar events
list_leads
Lists all marketing leads
list_opportunities
Lists all sales opportunities
list_organisations
Lists all registered organisations
list_projects
Lists all active and past projects
list_tasks
Lists all tasks across projects
list_teams
Lists all defined teams
list_users
Lists all users in the system
Example Prompts for Insightly in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Insightly immediately.
"List all contacts in Insightly."
"Show me active projects in my Insightly account."
"Check for any new sales opportunities."
Troubleshooting Insightly MCP Server with AutoGen
Common issues when connecting Insightly to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Insightly + AutoGen FAQ
Common questions about integrating Insightly 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 Insightly 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Insightly to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.