HeyReach MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HeyReach 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 MCP SERVER
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 HeyReach. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in HeyReach?"
)
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 HeyReach MCP Server
Connect your HeyReach.io account to any AI agent and take full control of your LinkedIn outreach and lead generation through natural conversation.
LlamaIndex agents combine HeyReach tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Campaign Oversight — List all outreach campaigns, monitor their status, and pause or resume them as needed.
- Lead Management — Import new leads from LinkedIn profile URLs and retrieve detailed prospect information.
- Account Visibility — List all connected LinkedIn accounts (senders) and monitor which profile is driving your outreach.
- Inbox Automation — Access recent conversations and send replies directly from the chat interface.
- Campaign Tracking — Check which campaigns a specific lead is part of to ensure consistent communication.
- Operational Efficiency — Add up to 100 leads to a campaign in a single high-throughput request.
The HeyReach MCP Server exposes 10 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 HeyReach to LlamaIndex via MCP
Follow these steps to integrate the HeyReach 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 10 tools from HeyReach
Why Use LlamaIndex with the HeyReach MCP Server
LlamaIndex provides unique advantages when paired with HeyReach through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HeyReach tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HeyReach tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HeyReach, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HeyReach tools were called, what data was returned, and how it influenced the final answer
HeyReach + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HeyReach MCP Server delivers measurable value.
Hybrid search: combine HeyReach real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HeyReach 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 HeyReach for fresh data
Analytical workflows: chain HeyReach queries with LlamaIndex's data connectors to build multi-source analytical reports
HeyReach MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect HeyReach to LlamaIndex via MCP:
add_leads_to_campaign
Pass the leads array as a JSON string in "leads_json" (e.g., [{"firstName": "John", "lastName": "Doe", "profileUrl": "..."}]). Import new leads into a specific campaign
get_api_profile
Check API key validity and get basic account info
get_lead_details
Get detailed information about a lead using their LinkedIn profile URL
list_campaigns
Use this to find the "campaignId" for adding leads or managing status. List all LinkedIn outreach campaigns
list_conversations
List recent LinkedIn inbox conversations
list_lead_campaigns
List all campaigns a specific lead is part of
list_linkedin_accounts
Use this to identify which account is sending messages. List all LinkedIn accounts (senders) connected to the workspace
pause_campaign
Pause an active LinkedIn campaign
resume_campaign
Resume a paused LinkedIn campaign
send_linkedin_message
Pass the payload as a JSON string in "body_json" (requires conversationId and text). Send a message to a LinkedIn conversation
Example Prompts for HeyReach in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HeyReach immediately.
"List all my active LinkedIn campaigns."
"Add Jane Doe (https://linkedin.com/in/janedoe) to campaign ID 5501."
"Show me the latest conversations from my LinkedIn inbox."
Troubleshooting HeyReach MCP Server with LlamaIndex
Common issues when connecting HeyReach to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHeyReach + LlamaIndex FAQ
Common questions about integrating HeyReach 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 HeyReach 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 HeyReach to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.