How do I get my Medallia API credentials?

You need to contact your Medallia administrator to enable the REST API and create an OAuth 2.0 application to receive your Client ID and Secret.

What survey data can I access?

You can access survey configurations, individual responses, scores (like NPS), feedback comments, and metadata associated with each response.

Is my customer data secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

Medallia MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Medallia
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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 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({
        "medallia": {
            "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 Medallia, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Medallia MCP Server

Connect your Medallia experience management instance to any AI agent and take full control of your customer feedback and CX programs through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Medallia through native MCP adapters. Connect 10 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.

What you can do

Survey Management — List all customer surveys and fetch detailed configuration metadata
Feedback Monitoring — Retrieve and search survey responses to understand customer sentiment in real-time
Program Oversight — List and inspect experience management programs and their statuses
Alert Management — Monitor and retrieve details for alerts triggered by specific customer feedback
User Inventory — List authorized users and manage access within your Medallia instance

The Medallia MCP Server exposes 10 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 Medallia to LangChain via MCP

Follow these steps to integrate the Medallia MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Medallia via MCP

Why Use LangChain with the Medallia MCP Server

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

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

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

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

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

Medallia + LangChain Use Cases

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

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

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

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

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

Medallia MCP Tools for LangChain (10)

These 10 tools become available when you connect Medallia to LangChain via MCP:

get_alert

Get details for a specific alert

get_program_details

Get details for a specific program

get_response

Get details for a specific response

get_survey

Get details for a specific survey

list_alerts

List feedback alerts

list_programs

List experience management programs

list_responses

List survey responses

list_surveys

List all customer surveys

list_users

List Medallia users

search_responses

Search survey responses by term

Example Prompts for Medallia in LangChain

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

"List all active surveys in Medallia."

"Search responses for the term 'disappointed'."

"Show recent alerts from high-priority programs."

Troubleshooting Medallia MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Medallia + LangChain FAQ

Common questions about integrating Medallia MCP Server with LangChain.

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.

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.