How do I find my HeyReach API Key?

Log in to your HeyReach account, navigate to **Settings**, and you will find your unique **API Key** in the API section. Ensure you have the necessary administrative permissions.

Can I add leads to a campaign that hasn't been launched?

No, campaigns must be launched at least once in the HeyReach web interface before you can add leads to them via the API or this integration.

How many leads can I add in one request?

The `add_leads_to_campaign` tool supports adding up to 100 leads in a single batch request to ensure optimal performance and adherence to rate limits.

Is the integration secure for my LinkedIn data?

Absolutely. The integration uses official HeyReach API keys over HTTPS. Your credentials and LinkedIn access tokens are encrypted and stored securely within the Vinkius Cloud infrastructure.

HeyReach MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: HeyReach
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to HeyReach through Vinkius, pass the Edge URL in the `mcps` parameter and every HeyReach tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="HeyReach Specialist",
    goal="Help users interact with HeyReach effectively",
    backstory=(
        "You are an expert at leveraging HeyReach tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in HeyReach "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, HeyReach becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HeyReach tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the HeyReach MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from HeyReach

Why Use CrewAI with the HeyReach MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HeyReach through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

HeyReach + CrewAI Use Cases

Practical scenarios where CrewAI combined with the HeyReach MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries HeyReach for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries HeyReach, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain HeyReach tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries HeyReach against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

HeyReach MCP Tools for CrewAI (10)

These 10 tools become available when you connect HeyReach to CrewAI 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 CrewAI

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

Common issues when connecting HeyReach to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

HeyReach + CrewAI FAQ

Common questions about integrating HeyReach MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.