How to Use the Agile CRM MCP in OpenAI Agents SDK

Q: How do I get my OpenAI Agents SDK agent to list contacts from Agile CRM?

Your agent can call the listcontacts tool. The MCP server handles the API call to Agile CRM, and the SDK delivers the contact list back to your agent as a structured object.

Q: Can I filter deals from Agile CRM directly with the OpenAI Agents SDK?

The listdeals tool fetches all deals. Once the list is returned to your agent, you can use standard Python code within your agent's logic to filter, sort, or analyze them.

Q: What's the best way to manage tasks in Agile CRM with an OpenAI Agents SDK agent?

Use the listtasks tool to pull all open tasks into your agent's context. From there, your agent can categorize them, generate summary reports, or identify overdue items based on the data.

Build production agents that manage Agile CRM contacts and deals, backed by the safety and tracing of the OpenAI Agents SDK.

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Connect Agile CRM MCP to OpenAI Agents SDK

Create your Vinkius account to connect Agile CRM to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Agile CRM with OpenAI Agents SDK

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Manage Contacts with Confidence

This server gives your agent direct tools to work with your CRM contacts. Use `search_contact_by_email` to find a specific person or `list_contacts` to get the whole roster. Your agent doesn't just get raw data; it gets a structured list to work with. Here's the key: the OpenAI Agents SDK is built for production. Its guardrails can validate agent actions *before* they run. This means your agent won't misinterpret a task and try to perform an unsupported action on your Agile CRM contacts. You get full visibility in the OpenAI dashboard.

Track Your Sales Pipeline

Give your agent visibility into your sales pipeline. The `list_deals` tool pulls all current opportunities from Agile CRM. Your agent can then analyze these deals or look for patterns. Combine this with `list_tasks` to see what needs to be done next. You can design specialized agents that hand off work—one agent identifies high-value deals, then passes them to another that flags associated tasks for a human teammate. Every step is logged, so you can trace the agent's entire decision process.

Auto-Discover Tools with This MCP Server

Connecting your agent to Agile CRM is straightforward. Just point the `MCPServerStreamableHttp` client at the Vinkius endpoint. There's no need to manually define each tool and its parameters. The OpenAI Agents SDK automatically discovers the `list_contacts`, `list_deals`, and other tools exposed by this MCP Server. It reads the function signatures and descriptions, so the agent knows exactly what it can do and how to do it. Set `cacheToolsList=True` and you're ready for production workloads.

Setup guide

Set up Agile CRM MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Agile CRM tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Agile CRM tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Agile CRM tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Agile CRM Agent",
            instructions="You have access to Agile CRM tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Agile CRM MCP in OpenAI Agents SDK

Your agent can call the `list_contacts` tool. The MCP server handles the API call to Agile CRM, and the SDK delivers the contact list back to your agent as a structured object.

The `list_deals` tool fetches all deals. Once the list is returned to your agent, you can use standard Python code within your agent's logic to filter, sort, or analyze them.

Yes. OpenAI's framework has built-in guardrails to validate agent actions before they execute against your data. This, combined with Vinkius's single-use endpoint tokens, provides a secure connection to Agile CRM.

Use the `list_tasks` tool to pull all open tasks into your agent's context. From there, your agent can categorize them, generate summary reports, or identify overdue items based on the data.

The server only interacts with your Agile CRM contacts, deals, and tasks. Vinkius secures this connection by running the MCP server in an ephemeral sandbox that is destroyed after your request is complete. All activity can also be monitored through the OpenAI dashboard's tracing.

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