How do I find my Helpshift API Key?

Log in to your Helpshift dashboard, go to **Settings > API**, and you will find your **API Key** listed there. This key is used as the username for Basic Authentication.

What is the 'Domain' in the setup?

The domain is the unique identifier for your Helpshift instance (e.g., if you access it at `company.helpshift.com`, your domain is `company`).

Can I see the history of actions taken on an issue?

Yes! Use the `get_issue_audit_logs` tool (v2). It retrieves the action history, showing when status was changed, who was assigned, and which tags were added.

Is the integration secure for support data?

Absolutely. The integration uses industry-standard Basic Authentication over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Helpshift MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Helpshift
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Helpshift through 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 Helpshift "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Helpshift?"
    )
    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 Helpshift MCP Server

Connect your Helpshift platform to any AI agent and take full control of your customer support and user hub workflows through natural conversation.

Pydantic AI validates every Helpshift tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through 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

Issue Oversight — List all support issues, retrieve detailed metadata, and monitor audit logs for action history.
Response Management — Add messages to existing issues and update statuses (Resolved, Rejected) directly from the chat.
Content Insights — Browse your published FAQ articles and sections to ensure documentation is accurate.
User Hub Operations — Perform bulk user profile updates and creation tasks using the User Hub v2 API.
Application Visibility — List all registered apps in your Helpshift dashboard to ensure correct routing.
Operational Efficiency — Track the progress of bulk identity tasks and monitor support volume in real-time.

The Helpshift MCP Server exposes 11 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 Helpshift to Pydantic AI via MCP

Follow these steps to integrate the Helpshift 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 11 tools from Helpshift with type-safe schemas

Why Use Pydantic AI with the Helpshift MCP Server

Pydantic AI provides unique advantages when paired with Helpshift 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 Helpshift integration code

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

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

Helpshift + Pydantic AI Use Cases

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

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

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

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

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

Helpshift MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Helpshift to Pydantic AI via MCP:

add_issue_message

Pass the message details as a JSON string in "body_json". Add a message to an existing issue

bulk_user_action

Pass the actions array as a JSON string in "body_json". Perform bulk profile operations (v2)

create_issue

Pass the payload as a JSON string in "body_json" (requires app_id, title, body). Create a new support issue

get_bulk_task_status

Check the status of a bulk profile operation

get_issue_audit_logs

Retrieve the action history for a specific issue

get_issue_details

Get detailed information about a specific issue

list_faq_sections

List FAQ categories/sections

list_faqs

List all published FAQ articles

list_issues

Useful for monitoring support volume and identifying urgent cases. List support issues/tickets in Helpshift

list_registered_apps

List all applications registered in your Helpshift dashboard

update_issue_status

Update the status of an issue (e.g., Resolved, Rejected)

Example Prompts for Helpshift in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Helpshift immediately.

"List all active issues and show their audit logs."

"Add a reply to issue ID 5501: 'We are investigating the logs now'."

"Search for FAQ articles related to 'subscription renewal'."

Troubleshooting Helpshift MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Helpshift + Pydantic AI FAQ

Common questions about integrating Helpshift 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 Helpshift MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.