How do I get my Outreach API credentials?

Go to the **Outreach Developer Portal** at **developers.outreach.io** and log in with your Outreach account. Navigate to **My Apps** and click **Create New App**. Provide a name, description, and configure the **Redirect URI** and required **scopes** (e.g., `read_prospects`, `write_prospects`). After saving, you'll receive your **Client ID** and **Client Secret**. Copy both and paste them into the configuration fields below. Note: Outreach generates both development and production credentials —

Can my AI agent tell me which sequences are performing best?

Yes. Ask your agent to compare sequences by reply rate, open rate, or meeting booked rate and it returns a ranked list — helping you double down on what works and kill underperforming sequences before they damage your domain reputation.

What if I need to check team activity quickly during standup?

Ask your AI agent 'What did my team do yesterday?' and get a summary of emails sent, calls made, replies received, and meetings booked per rep — perfect for 30-second standup updates without pulling up dashboards.

Is this suitable for large enterprise SDR teams?

Absolutely. Outreach is built for enterprise sales organizations with hundreds of reps. Your AI agent queries the same API used by Outreach's native platform — supporting team-level views, advanced filtering, and role-based access controls.

Outreach MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Outreach
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Outreach through 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="Outreach Assistant",
            instructions=(
                "You help users interact with Outreach. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Outreach"
        )
        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 Outreach MCP Server

Connect Outreach to your AI agent and manage your enterprise sales engagement platform conversationally.

The OpenAI Agents SDK auto-discovers all 8 tools from Outreach through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Outreach, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Prospect Management — Search, create, and update prospect records with contact information, tags, and engagement history.
Sequence Tracking — List active sequences, check enrollment statuses, and monitor step completion rates.
Email Analytics — Pull open rates, reply rates, bounce rates, and click metrics across sequences and campaigns.
Activity Feed — Query recent calls, emails, and tasks across your SDR team for pipeline visibility.

The Outreach MCP Server exposes 8 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 Outreach to OpenAI Agents SDK via MCP

Follow these steps to integrate the Outreach 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 8 tools from Outreach

Why Use OpenAI Agents SDK with the Outreach MCP Server

OpenAI Agents SDK provides unique advantages when paired with Outreach 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

Outreach + OpenAI Agents SDK Use Cases

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

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

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

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

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

Outreach MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Outreach to OpenAI Agents SDK via MCP:

get_outreach_prospect

Get details for a specific prospect

get_outreach_sequence_stats

Get engagement metrics for a sequence

list_outreach_accounts

List company accounts

list_outreach_emails

List email addresses linked to prospects

list_outreach_mailboxes

List connected sending mailboxes

list_outreach_prospects

List sales prospects

list_outreach_sequences

List automated outreach sequences

list_outreach_tasks

List sales tasks

Example Prompts for Outreach in OpenAI Agents SDK

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

"How are my active sequences performing?"

"Search for prospect 'David Kim' in Outreach."

"What did my SDR team accomplish yesterday?"

Troubleshooting Outreach MCP Server with OpenAI Agents SDK

Common issues when connecting Outreach 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.

Outreach + OpenAI Agents SDK FAQ

Common questions about integrating Outreach 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.