Pipeliner 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 Pipeliner 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="pipeliner_agent",
tools=tools,
system_message=(
"You help users with Pipeliner. "
"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 Pipeliner MCP Server
Connect your Pipeliner CRM space to any AI agent and take full control of your sales ecosystem through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Pipeliner 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
- Lead & Opportunity Oversight — List and retrieve detailed metadata for leads and sales opportunities across your workspace.
- Sales Pipeline Management — List available pipelines and track the progress of deals through different stages.
- Workforce Visibility — List company accounts, business contacts, and team members to maintain a clear view of your stakeholders.
- Activity & Task Tracking — Monitor sales activities and assigned tasks to ensure your team stays productive.
- Detailed Entity Inspections — Get deep-dive details for any specific lead or opportunity to understand its full history.
The Pipeliner 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 Pipeliner to AutoGen via MCP
Follow these steps to integrate the Pipeliner 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 Pipeliner automatically
Why Use AutoGen with the Pipeliner MCP Server
AutoGen provides unique advantages when paired with Pipeliner through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Pipeliner tools to solve complex tasks
Role-based architecture lets you assign Pipeliner 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 Pipeliner tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Pipeliner tool responses in an isolated environment
Pipeliner + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Pipeliner MCP Server delivers measurable value.
Collaborative analysis: one agent queries Pipeliner while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Pipeliner, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Pipeliner data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Pipeliner responses in a sandboxed execution environment
Pipeliner MCP Tools for AutoGen (10)
These 10 tools become available when you connect Pipeliner to AutoGen via MCP:
get_pipeliner_lead
Get details for a specific lead
get_pipeliner_opportunity
Get details for a specific opportunity
list_pipeliner_accounts
List all company accounts
list_pipeliner_activities
List sales activities and tasks
list_pipeliner_contacts
List all business contacts
list_pipeliner_leads
List all sales leads
list_pipeliner_opportunities
List all sales opportunities
list_pipeliner_pipelines
List available sales pipelines
list_pipeliner_tasks
List all assigned tasks
list_pipeliner_users
List users in the Pipeliner space
Example Prompts for Pipeliner in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Pipeliner immediately.
"List all sales opportunities in the 'Enterprise' pipeline."
"Show me the last 5 leads added to Pipeliner."
"What are my sales activities for this week?"
Troubleshooting Pipeliner MCP Server with AutoGen
Common issues when connecting Pipeliner to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Pipeliner + AutoGen FAQ
Common questions about integrating Pipeliner 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 Pipeliner 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 Pipeliner to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
