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Applied Epic MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Applied Epic through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "applied-epic": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Applied Epic, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Applied Epic
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Applied Epic MCP Server

The Applied Epic MCP Server provides a powerful natural language interface to your Applied Systems insurance management platform. Connect your Applied Epic account to your AI agent to gain real-time visibility into your client relationships, policy lifecycles, and agency workflows.

LangChain's ecosystem of 500+ components combines seamlessly with Applied Epic through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

Key Capabilities

  • Client Management — List and search for clients, and access full demographic and compliance data.
  • Policy Lifecycle — Track active and historical policies, including effective and expiration dates and current statuses.
  • Workflow Automation — Create and manage activities (tasks/logs) directly from your chat interface to ensure consistent follow-ups.
  • Lines of Business — Drill down into specific lines of business for any policy, such as Workers Comp or General Liability.
  • Attachment Oversight — Find and manage documents, photos, and proof of insurance linked to your clients and policies.
  • Secure Integration — Uses industry-standard OAuth 2.0 authentication to safely access your agency's data.

The Applied Epic MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain 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 Applied Epic to LangChain via MCP

Follow these steps to integrate the Applied Epic MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from Applied Epic via MCP

Why Use LangChain with the Applied Epic MCP Server

LangChain provides unique advantages when paired with Applied Epic through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Applied Epic MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Applied Epic queries for multi-turn workflows

Applied Epic + LangChain Use Cases

Practical scenarios where LangChain combined with the Applied Epic MCP Server delivers measurable value.

01

RAG with live data: combine Applied Epic tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Applied Epic, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Applied Epic tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Applied Epic tool call, measure latency, and optimize your agent's performance

Applied Epic MCP Tools for LangChain (9)

These 9 tools become available when you connect Applied Epic to LangChain via MCP:

01

create_activity

Create a new activity record

02

get_account_check

Verify Applied Epic account connection

03

get_client

Get details for a specific client

04

get_policy

Get details for a specific policy

05

list_activities

List all activities (tasks/logs)

06

list_attachments

List all file attachments

07

list_clients

List all insurance clients in Applied Epic

08

list_lines

g., Workers Comp, GL) for a specific policyId. List lines of business for a policy

09

list_policies

List all insurance policies

Example Prompts for Applied Epic in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Applied Epic immediately.

01

"List all active insurance clients."

02

"Show me upcoming policy expirations for next month."

03

"Create an activity 'Renewal Follow-up' for client ID 'C998877'."

Troubleshooting Applied Epic MCP Server with LangChain

Common issues when connecting Applied Epic to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Applied Epic + LangChain FAQ

Common questions about integrating Applied Epic MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Applied Epic to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.