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 LangChain 8 tools — connect in under 2 minutes

Name: Outreach
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Outreach through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "outreach": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Outreach, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Outreach through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Outreach MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Outreach via MCP

Why Use LangChain with the Outreach MCP Server

LangChain provides unique advantages when paired with Outreach through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Outreach MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Outreach queries for multi-turn workflows

Outreach + LangChain Use Cases

Practical scenarios where LangChain combined with the Outreach MCP Server delivers measurable value.

RAG with live data: combine Outreach tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Outreach, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Outreach tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Outreach tool call, measure latency, and optimize your agent's performance

Outreach MCP Tools for LangChain (8)

These 8 tools become available when you connect Outreach to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Outreach to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Outreach + LangChain FAQ

Common questions about integrating Outreach MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.