AidaForm MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Aidaform Status, Create Form, Delete Form, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AidaForm 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 AidaForm 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
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 AidaForm. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in AidaForm?"
)
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 AidaForm MCP Server
Connect your AidaForm account to any AI agent and take full control of your online form builder and automated response management workflows through natural conversation.
LlamaIndex agents combine AidaForm 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
- Form Orchestration — List and manage your entire high-fidelity form directory programmatically, retrieving detailed metadata and configuration for every survey
- Response Intelligence — Programmatically retrieve all submitted responses for specific forms and access complete data for individual submissions in real-time
- Data Hygiene Management — Programmatically delete specific responses to maintain high-fidelity database integrity and organizational compliance
- Insight Discovery — Access detailed form metadata to coordinate your data collection strategy and monitor active survey statuses directly through your agent
- Operational Monitoring — Verify API connectivity and retrieve account-level metadata directly through your agent for instant performance reporting
The AidaForm 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 AidaForm tools available for LlamaIndex
When LlamaIndex connects to AidaForm through Vinkius, your AI agent gets direct access to every tool listed below — spanning aidaform, forms-api, surveys-automation, 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.
Verify connectivity
Create a form
Delete a form
Delete a response
Export responses
Get form details
Get form analytics
Get response details
List forms
List form responses
List workspaces
Update a form
Connect AidaForm to LlamaIndex via MCP
Follow these steps to wire AidaForm 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 AidaForm MCP Server
LlamaIndex provides unique advantages when paired with AidaForm through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AidaForm tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AidaForm tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AidaForm, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AidaForm tools were called, what data was returned, and how it influenced the final answer
AidaForm + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AidaForm MCP Server delivers measurable value.
Hybrid search: combine AidaForm real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AidaForm 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 AidaForm for fresh data
Analytical workflows: chain AidaForm queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AidaForm in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AidaForm immediately.
"List all active forms in my AidaForm account."
"Show the last 3 responses for form 'Lead Gen v2'."
"Delete response ID '987' from form '12345'."
Troubleshooting AidaForm MCP Server with LlamaIndex
Common issues when connecting AidaForm to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAidaForm + LlamaIndex FAQ
Common questions about integrating AidaForm MCP Server with LlamaIndex.