ContactOut MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Enrich Company, Enrich Contact, Find Email By Linkedin, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ContactOut as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The ContactOut app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ContactOut. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in ContactOut?"
)
print(response)
asyncio.run(main())
* 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 ContactOut MCP Server
Connect your ContactOut account to any AI agent to streamline your B2B lead generation and talent acquisition workflows through natural conversation. ContactOut provides a powerful intelligence layer for discovering verified contact information and enriching professional profiles at scale.
LlamaIndex agents combine ContactOut tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Contact Discovery Orchestration — Instantly retrieve verified email addresses and direct phone numbers using LinkedIn profile URLs programmatically
- Professional Enrichment — Enrich contact and company data with detailed attributes, including job titles, locations, and social links to maintain a high-fidelity CRM
- Deep Semantic Search — Programmatically search the ContactOut database of 300M+ people using advanced filters for skills, titles, and locations
- Identity Resolution — Find the LinkedIn profile associated with a specific email address to perfectly coordinate your multichannel outreach
- Administrative Visibility — Programmatically track your credit balance and API usage statistics to coordinate your recruitment and sales budgets
The ContactOut MCP Server exposes 7 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.
All 7 ContactOut tools available for LlamaIndex
When LlamaIndex connects to ContactOut through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-discovery, email-enrichment, talent-acquisition, 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.
Enrich company data
Enrich contact data
Find email by LinkedIn profile
Find LinkedIn profile by email
Get API usage statistics
Search for companies
Search for people
Connect ContactOut to LlamaIndex via MCP
Follow these steps to wire ContactOut into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the ContactOut MCP Server
LlamaIndex provides unique advantages when paired with ContactOut through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ContactOut tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ContactOut tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ContactOut, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ContactOut tools were called, what data was returned, and how it influenced the final answer
ContactOut + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ContactOut MCP Server delivers measurable value.
Hybrid search: combine ContactOut real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ContactOut 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 ContactOut for fresh data
Analytical workflows: chain ContactOut queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ContactOut in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ContactOut immediately.
"Find the contact email for this LinkedIn profile: https://www.linkedin.com/in/williamhgates"
"Search for 'Python' developers in 'London' with at least 5 years of experience."
"Check my current API credit balance on ContactOut."
Troubleshooting ContactOut MCP Server with LlamaIndex
Common issues when connecting ContactOut to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpContactOut + LlamaIndex FAQ
Common questions about integrating ContactOut MCP Server with LlamaIndex.