Merge (Unified Integration API) MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Merge (Unified Integration API) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Merge (Unified Integration API) "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Merge (Unified Integration API)?"
)
print(result.data)
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 Merge (Unified Integration API) MCP Server
Connect your Merge.dev account to any AI agent and take full control of your unified B2B integrations across HRIS, ATS, CRM, and Ticketing through natural conversation.
Pydantic AI validates every Merge (Unified Integration API) tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- HRIS Orchestration — List all active employees and organizational companies from your connected HRIS (e.g., BambooHR, Workday, HiBob) directly from your agent
- ATS Talent Pipeline — Retrieve recruited candidates and tracked job applications from your ATS integration (e.g., Greenhouse, Lever, Ashby) to monitor hiring workflows
- CRM Contact Management — Access external sales contacts and customer accounts from your CRM (e.g., Salesforce, HubSpot, Pipedrive) to manage your business directory securely
- Ticketing & Support — List inbound and outbound support tickets from your issue-tracking boards (e.g., Zendesk, Jira, Front) to stay updated on customer issues
- Unified Data Access — Retrieve standardized data structures across hundreds of different integrations using a single set of API tools natively handled by Merge
- Integration Audit — Inspect linked account details and meta-configurations to understand the current state and boundaries of your connected workspace securely
The Merge (Unified Integration API) MCP Server exposes 8 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 Merge (Unified Integration API) to Pydantic AI via MCP
Follow these steps to integrate the Merge (Unified Integration API) 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 8 tools from Merge (Unified Integration API) with type-safe schemas
Why Use Pydantic AI with the Merge (Unified Integration API) MCP Server
Pydantic AI provides unique advantages when paired with Merge (Unified Integration API) 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 Merge (Unified Integration API) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Merge (Unified Integration API) connection logic from agent behavior for testable, maintainable code
Merge (Unified Integration API) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Merge (Unified Integration API) MCP Server delivers measurable value.
Type-safe data pipelines: query Merge (Unified Integration API) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Merge (Unified Integration API) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Merge (Unified Integration API) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Merge (Unified Integration API) responses and write comprehensive agent tests
Merge (Unified Integration API) MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Merge (Unified Integration API) to Pydantic AI via MCP:
get_account_details
dev. Retrieve linked Account Details exposing integration boundaries
list_accounts
List customer accounts parsed from the CRM integration
list_applications
List job applications inside the ATS integration
list_candidates
List recruited candidates across the ATS integration
list_companies
List companies mapped inside the HRIS integration
list_contacts
List external contacts mapped in the CRM integration
list_employees
Be aware the list might be paginated or heavy. List employees from the linked HRIS integration
list_tickets
List inbound/outbound support tickets inside the Ticketing integration
Example Prompts for Merge (Unified Integration API) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Merge (Unified Integration API) immediately.
"List all active employees from our linked HRIS"
"Show me the last 5 candidates in our ATS talent pipeline"
"List all open support tickets in our ticketing integration"
Troubleshooting Merge (Unified Integration API) MCP Server with Pydantic AI
Common issues when connecting Merge (Unified Integration API) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMerge (Unified Integration API) + Pydantic AI FAQ
Common questions about integrating Merge (Unified Integration API) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Merge (Unified Integration API) 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 Merge (Unified Integration API) to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.