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 Pydantic AI 10 tools — connect in under 2 minutes

Name: HeyReach
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HeyReach through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to HeyReach "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HeyReach?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every HeyReach tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the HeyReach MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the HeyReach MCP Server

Pydantic AI provides unique advantages when paired with HeyReach through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your HeyReach integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your HeyReach connection logic from agent behavior for testable, maintainable code

HeyReach + Pydantic AI Use Cases

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

Type-safe data pipelines: query HeyReach with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple HeyReach tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query HeyReach and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock HeyReach responses and write comprehensive agent tests

HeyReach MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect HeyReach to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HeyReach + Pydantic AI FAQ

Common questions about integrating HeyReach MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your HeyReach MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.