Findymail MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Findymail as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Findymail. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Findymail?"
)
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 Findymail MCP Server
Connect your Findymail account to any AI agent and supercharge your sales prospecting and data enrichment workflows through the power of the Model Context Protocol (MCP). Findymail is designed for high-growth sales teams that need accurate, verified contact data without the manual grind of searching through LinkedIn or guessing email patterns.
LlamaIndex agents combine Findymail tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Precision Email Finding — Instantly retrieve verified B2B emails by providing a person's name and their company domain or name. No more guessing; get data that actually delivers.
- Real-time Email Verification — Protect your sender reputation by verifying any email address before it hits your outreach sequence. Our verification tool checks for deliverability in seconds.
- Direct Phone Discovery — Scale your cold calling efforts by fetching direct phone numbers directly from LinkedIn profiles using our specialized phone finder tool.
- Deep Company Enrichment — Transform a simple domain or LinkedIn URL into a full company profile, including industry data, size, and social identifiers.
- Intellimatch Lead Generation — Use natural language to discover new leads. Simply ask your agent to 'Find SaaS founders in the US' or 'Get me marketing heads in London', and let Findymail do the heavy lifting.
- List & Contact Management — Organically manage your prospecting lists and retrieve specific contact details to keep your CRM updated and your outreach personalized.
- Credit Monitoring — Keep a pulse on your API usage with built-in tools to check your remaining credits and usage summaries directly from your AI conversation.
The Findymail MCP Server exposes 12 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 Findymail to LlamaIndex via MCP
Follow these steps to integrate the Findymail 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 12 tools from Findymail
Why Use LlamaIndex with the Findymail MCP Server
LlamaIndex provides unique advantages when paired with Findymail through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Findymail tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Findymail tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Findymail, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Findymail tools were called, what data was returned, and how it influenced the final answer
Findymail + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Findymail MCP Server delivers measurable value.
Hybrid search: combine Findymail real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Findymail 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 Findymail for fresh data
Analytical workflows: chain Findymail queries with LlamaIndex's data connectors to build multi-source analytical reports
Findymail MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Findymail to LlamaIndex via MCP:
create_contact_list
Create a new contact list
enrich_company
Enrich company data
find_email
Find a verified email address
find_phone
Find direct phone numbers
get_contact
Get contact details
get_credits
Check credit balance
get_credits_summary
Get credits usage summary
get_lead_search_data
Get lead search results
get_lead_search_status
Check lead search status
list_contact_lists
List all contact lists
search_leads
Find companies and contacts
verify_email
Verify an email address
Example Prompts for Findymail in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Findymail immediately.
"Find the verified email for Satya Nadella at microsoft.com"
"Enrich company data for the domain 'vinkius.com'"
"Search for 'marketing agency owners in New York' using Intellimatch."
Troubleshooting Findymail MCP Server with LlamaIndex
Common issues when connecting Findymail to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFindymail + LlamaIndex FAQ
Common questions about integrating Findymail MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Findymail with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Findymail to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.