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Survalyzer MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create And Invite Members, Create Member, Get Account Info, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Survalyzer 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 Survalyzer app connector for LlamaIndex is a standout in the Industry Titans 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 Survalyzer. "
            "You have 12 tools available."
        ),
    )

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

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

Connect your Survalyzer account to any AI agent to automate your advanced market research and professional survey orchestration. Survalyzer provides a premier platform for complex feedback management, and this integration allows you to browse survey lists, manage panel members, and automate survey distribution through natural conversation.

LlamaIndex agents combine Survalyzer 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 & Research Orchestration — List all managed surveys and retrieve detailed metadata, including structure and layout info programmatically.
  • Panel & Member Management — List and create panel members to ensure your respondent database is always up to date directly from the AI interface.
  • Distribution Automation — Create and send survey invitations to panel members using simple AI commands to streamline your outreach.
  • Language & Layout Control — Access available survey languages and layouts to ensure your research is optimized for diverse global audiences.
  • Operational Monitoring — Track survey progress and manage webhooks to ensure your feedback data is fully synchronized via natural language.

The Survalyzer 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 Survalyzer tools available for LlamaIndex

When LlamaIndex connects to Survalyzer through Vinkius, your AI agent gets direct access to every tool listed below — spanning market-research, feedback-management, survey-distribution, 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_and_invite_members

Bulk invite new members

create_member

Add member to panel

get_account_info

Get account profile

get_survey

Get survey details

invite_existing_members

Invite existing members

list_panel_members

List members in panel

list_panels

List member panels

list_samples

List research samples

list_survey_languages

List supported languages

list_survey_layouts

List visual layouts

list_surveys

List all surveys

list_webhooks

List active webhooks

Connect Survalyzer to LlamaIndex via MCP

Follow these steps to wire Survalyzer 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 Survalyzer

Why Use LlamaIndex with the Survalyzer MCP Server

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

01

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

02

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

03

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

04

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

Survalyzer + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Survalyzer 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 Survalyzer for fresh data

04

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

Example Prompts for Survalyzer in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Survalyzer immediately.

01

"List all my professional surveys in Survalyzer."

02

"Show me all active surveys with their response rates and completion analytics."

03

"Generate a detailed report for the Customer Satisfaction Q2 survey with sentiment analysis."

Troubleshooting Survalyzer MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Survalyzer + LlamaIndex FAQ

Common questions about integrating Survalyzer 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 Survalyzer 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.