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 LlamaIndex 8 tools — connect in under 2 minutes

Name: Outreach
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Outreach as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Outreach. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Outreach?"
    )
    print(response)

asyncio.run(main())

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About Outreach MCP Server

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

LlamaIndex agents combine Outreach tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Outreach

Why Use LlamaIndex with the Outreach MCP Server

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

Data-first architecture: LlamaIndex agents combine Outreach tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Outreach tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Outreach, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Outreach tools were called, what data was returned, and how it influenced the final answer

Outreach + LlamaIndex Use Cases

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

Hybrid search: combine Outreach real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Outreach to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Outreach for fresh data

Analytical workflows: chain Outreach queries with LlamaIndex's data connectors to build multi-source analytical reports

Outreach MCP Tools for LlamaIndex (8)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Outreach + LlamaIndex FAQ

Common questions about integrating Outreach MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Outreach tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.