SurveyMethods MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Collector, Create Contact, Create Survey, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SurveyMethods 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 SurveyMethods app connector for LlamaIndex is a standout in the Data Analytics 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
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 SurveyMethods. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in SurveyMethods?"
)
print(response)
asyncio.run(main())
* 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 SurveyMethods MCP Server
The SurveyMethods MCP server empowers your AI agent to manage surveys directly. Query response rates, fetch specific user feedback, and orchestrate automated polls efficiently through your chat.
LlamaIndex agents combine SurveyMethods 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.
The SurveyMethods 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 SurveyMethods tools available for LlamaIndex
When LlamaIndex connects to SurveyMethods through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-surveys, poll-software, response-tracking, 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 a new collector for a survey
Add a new contact
Create a new survey
Permanently remove a survey
Check API connectivity and get account context
Retrieve a single response by ID
Retrieve details for a specific survey
List all collectors (distribution channels) for a survey
List all contacts in your respondent database
Retrieve all responses for a specific survey
List all surveys in your account
Update an existing survey
Connect SurveyMethods to LlamaIndex via MCP
Follow these steps to wire SurveyMethods into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the SurveyMethods MCP Server
LlamaIndex provides unique advantages when paired with SurveyMethods through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SurveyMethods tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SurveyMethods tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SurveyMethods, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SurveyMethods tools were called, what data was returned, and how it influenced the final answer
SurveyMethods + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SurveyMethods MCP Server delivers measurable value.
Hybrid search: combine SurveyMethods real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SurveyMethods to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SurveyMethods for fresh data
Analytical workflows: chain SurveyMethods queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for SurveyMethods in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with SurveyMethods immediately.
"List all active surveys in my account."
"Get the completion rate for the 'Product Beta Feedback' survey."
"Close the survey ID 3042."
Troubleshooting SurveyMethods MCP Server with LlamaIndex
Common issues when connecting SurveyMethods to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSurveyMethods + LlamaIndex FAQ
Common questions about integrating SurveyMethods MCP Server with LlamaIndex.