3,400+ MCP servers ready to use
Vinkius

SurveySparrow MCP Server for LangChainGive LangChain instant access to 12 tools to Create Contact, Get Contact Info, Get Survey Details, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LangChain

The SurveySparrow app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

asyncio.run(main())
SurveySparrow
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 SurveySparrow MCP Server

Connect your SurveySparrow account to any AI agent and simplify how you collect multi-channel feedback, manage your audience directory, and analyze survey data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with SurveySparrow through native MCP adapters. Connect 12 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 Oversight — List all conversational surveys, retrieve detailed configuration metadata, and query question structures.
  • Response Analysis — List and query survey submissions with status filtering (completed/started) to monitor completion rates.
  • Audience Management — Manage your CRM contacts, create new profiles, and organize them into contact lists for targeted sharing.
  • Campaign Tracking — List email shares and invitations to monitor how your surveys are being distributed.
  • Webhook Integration — List active webhooks to ensure your event-driven workflows are active and notifying correctly.
  • Operational Visibility — Check account status, verify region settings, and manage contact lifecycles directly via AI.

The SurveySparrow MCP Server exposes 12 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.

All 12 SurveySparrow tools available for LangChain

When LangChain connects to SurveySparrow through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-surveys, experience-management, feedback-collection, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_contact

Add new contact

get_contact_info

Get contact details

get_survey_details

Get survey info

get_survey_questions

List survey fields

get_user_profile

Get account info

list_active_webhooks

Get notifications config

list_contact_folders

List contact lists

list_crm_contacts

List audience contacts

list_email_shares

List survey invitations

list_survey_responses

List survey submissions

list_surveys

List SurveySparrow surveys

remove_contact

Delete contact

Connect SurveySparrow to LangChain via MCP

Follow these steps to wire SurveySparrow into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from SurveySparrow via MCP

Why Use LangChain with the SurveySparrow MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine SurveySparrow 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 SurveySparrow queries for multi-turn workflows

SurveySparrow + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for SurveySparrow in LangChain

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

01

"List all active surveys in my SurveySparrow account."

02

"Show me the last 5 responses for the 'Customer Effort Score' survey."

03

"Search for a contact with the email 'jane.doe@example.com'."

Troubleshooting SurveySparrow MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SurveySparrow + LangChain FAQ

Common questions about integrating SurveySparrow 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.