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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SurveySparrow as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The SurveySparrow app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to SurveySparrow. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in SurveySparrow?"
    )
    print(response)

asyncio.run(main())
SurveySparrow
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* 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.

LlamaIndex agents combine SurveySparrow tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from SurveySparrow

Why Use LlamaIndex with the SurveySparrow MCP Server

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

01

Data-first architecture: LlamaIndex agents combine SurveySparrow tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain SurveySparrow tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query SurveySparrow, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what SurveySparrow tools were called, what data was returned, and how it influenced the final answer

SurveySparrow + LlamaIndex Use Cases

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

01

Hybrid search: combine SurveySparrow real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query SurveySparrow to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SurveySparrow for fresh data

04

Analytical workflows: chain SurveySparrow queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for SurveySparrow in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SurveySparrow + LlamaIndex FAQ

Common questions about integrating SurveySparrow MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SurveySparrow tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.