Sellsy MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Sellsy 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="sellsy_agent",
tools=tools,
system_message=(
"You help users with Sellsy. "
"12 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 Sellsy MCP Server
Connect the Sellsy CRM API to your AI workflow to unlock conversational oversight over your entire French-designed commercial hub. By providing exactly Read-Only access, your agent can securely map ongoing deals, review invoice payment statuses, and fetch complete dossiers on existing catalog items and contacts.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Sellsy tools. Connect 12 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.
What you can do
- Client & Prospecting Analysis — Use natural language to search companies, retrieve full metadata via
company_id, and pull associated granular contacts directly into the conversational context - Sales Pipeline Auditing — Ask the agent to list all active 'opportunities' and drill down into a specific Deal ID to review its exact stage and monetary potential
- Billing Integrity — Prompt your LLM to sweep your current draft, sent, and overdue invoices, including exact estimates given out recently to big leads
- CRM Activity Surveillance — Seamlessly extract chronological activity feeds (meetings, calls, tasks) to compile end-of-week reporting automatically
The Sellsy MCP Server exposes 12 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 Sellsy to AutoGen via MCP
Follow these steps to integrate the Sellsy 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 12 tools from Sellsy automatically
Why Use AutoGen with the Sellsy MCP Server
AutoGen provides unique advantages when paired with Sellsy through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Sellsy tools to solve complex tasks
Role-based architecture lets you assign Sellsy 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 Sellsy tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Sellsy tool responses in an isolated environment
Sellsy + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Sellsy MCP Server delivers measurable value.
Collaborative analysis: one agent queries Sellsy while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Sellsy, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Sellsy data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Sellsy responses in a sandboxed execution environment
Sellsy MCP Tools for AutoGen (12)
These 12 tools become available when you connect Sellsy to AutoGen via MCP:
get_company
Get detailed information about a specific company
get_contact
Get detailed information about a specific contact
get_deal
Get full details of a specific deal (amount, status, pipeline step, company)
get_invoice
Get full details of a specific invoice (amount, status, due date)
list_activities
List recent CRM activities (calls, emails, meetings, tasks)
list_companies
List all companies (clients, prospects) in the CRM
list_contacts
List all contacts in the CRM
list_deals
List all deals (opportunities) in the sales pipeline
list_estimates
List all estimates (quotes) sent to prospects
list_invoices
List all invoices (draft, sent, paid, overdue)
list_items
List all products and services in the catalog
search_companies
Search companies by name or keyword
Example Prompts for Sellsy in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Sellsy immediately.
"Identify pending Deals on Sellsy CRM and extract their projected monetary values."
"Pull the contact information and status for the primary user of 'Company XYZ'."
"Summarize the overarching status of my Sellsy invoices list."
Troubleshooting Sellsy MCP Server with AutoGen
Common issues when connecting Sellsy to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Sellsy + AutoGen FAQ
Common questions about integrating Sellsy 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 Sellsy 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.
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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 Sellsy to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
