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MagicDrip MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Add Linkedin Lead, Check Api Health, Get Account Outreach Stats, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The MagicDrip app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

asyncio.run(main())
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MagicDrip MCP Server

Connect your MagicDrip (magicdrip.com) account to any AI agent and take full control of your LinkedIn sales orchestration and automated outreach through natural conversation. MagicDrip provides a powerful platform for scaling B2B social selling, and this integration allows you to retrieve lead metadata, trigger automated connection requests, and monitor campaign performance directly from your chat interface.

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

What you can do

  • Lead & Prospect Orchestration — List all managed leads and retrieve detailed profile metadata programmatically to ensure your sales funnel is always synchronized.
  • Campaign Lifecycle Management — Access and monitor your automated LinkedIn campaigns and retrieve detailed performance metadata directly from the AI interface.
  • Outreach & Message Intelligence — Send automated connection requests and direct messages via natural language to drive better engagement and conversion rates.
  • Analytics & Quota Oversight — Retrieve aggregated account statistics and monitor your available slots and limits using simple AI commands.
  • Operational Monitoring — Track system responses and manage webhook metadata to ensure your social selling workflows are always optimized.

The MagicDrip 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.

All 12 MagicDrip tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to MagicDrip through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-automation, social-selling, outreach-campaigns, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_linkedin_lead

Add a new lead to a campaign

check_api_health

Verify The Magic Drip API status

get_account_outreach_stats

Get overall account performance

get_authenticated_user_profile

Get authenticated account info

get_available_slots_quota

Check account daily limits

get_campaign_performance

Retrieve campaign analytics

get_lead_outreach_details

Get details for a specific prospect

list_configured_webhooks

g., new reply). List active webhooks

list_outreach_campaigns

List LinkedIn automation campaigns

list_outreach_leads

List prospects from outreach campaigns

send_direct_linkedin_message

Send a direct LinkedIn message

send_linkedin_invite

Send a connection request

Connect MagicDrip to OpenAI Agents SDK via MCP

Follow these steps to wire MagicDrip into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from MagicDrip

Why Use OpenAI Agents SDK with the MagicDrip MCP Server

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

01

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

02

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

03

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

04

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

MagicDrip + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for MagicDrip in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MagicDrip immediately.

01

"List all active sales campaigns in MagicDrip."

02

"Show me the overall stats for my LinkedIn outreach."

03

"Add 'Sarah Chen' from 'sarah@acme.corp' as a new lead."

Troubleshooting MagicDrip MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

MagicDrip + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.