Can the AI alter invoices or update CRM statuses remotely?

No, it cannot. The agent is explicitly configured to possess pure Read-Only access capability via API V2 GET methodology endpoints (Such as `list_companies` and `get_invoices`). Your operational data remains completely immutable regardless of what you prompt.

Can I query a specific estimate document generated for a client?

Yes. While the integration allows sweeping over lists using `list_estimates`, the LLM can interpret the raw data to give you the summary of any pending quotes directly tied to associated internal pipelines effortlessly.

Does it track sales activities like recent calls?

Yes—by prompting your LLM with the underlying `list_activities` directive, you immediately gain access to the chronological logs outlining calls, meetings, generic events, and tasks created by your native Sales Development Representatives (SDRs).

Sellsy MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Sellsy
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sellsy through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Sellsy Assistant",
            instructions=(
                "You help users interact with Sellsy. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Sellsy"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 12 tools from Sellsy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Sellsy, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Sellsy MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Sellsy

Why Use OpenAI Agents SDK with the Sellsy MCP Server

OpenAI Agents SDK provides unique advantages when paired with Sellsy through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Sellsy + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Sellsy MCP Server delivers measurable value.

Automated workflows: build agents that query Sellsy, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Sellsy, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Sellsy tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Sellsy to resolve tickets, look up records, and update statuses without human intervention

Sellsy MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Sellsy to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Sellsy to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Sellsy + OpenAI Agents SDK FAQ

Common questions about integrating Sellsy MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.