Proforms MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Job, Get Asset, Get Form, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Proforms 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 Proforms 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 Proforms. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Proforms?"
)
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 Proforms MCP Server
The Proforms MCP server allows your AI agent to query form responses, retrieve submission data, and list active forms natively. Analyze your collected data immediately through conversation without downloading CSV files.
LlamaIndex agents combine Proforms 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 Proforms 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 Proforms tools available for LlamaIndex
When LlamaIndex connects to Proforms through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, submission-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.
Push a new job to a field worker
Retrieve details for a specific asset
Retrieve details for a specific form
Retrieve details for a specific field job
Check API connectivity and get user context
Retrieve details for a specific form submission
List all registered equipment assets
List all mobile forms
List all field jobs/tasks
List all data submissions for a specific form
List all back-office and field users
Modify an existing field job
Connect Proforms to LlamaIndex via MCP
Follow these steps to wire Proforms 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 Proforms MCP Server
LlamaIndex provides unique advantages when paired with Proforms through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Proforms tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Proforms tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Proforms, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Proforms tools were called, what data was returned, and how it influenced the final answer
Proforms + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Proforms MCP Server delivers measurable value.
Hybrid search: combine Proforms real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Proforms 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 Proforms for fresh data
Analytical workflows: chain Proforms queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Proforms in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Proforms immediately.
"List all active forms in my account."
"Fetch the latest responses for form ID 8901."
"Summarize the feedback from 'Customer Feedback Survey'."
Troubleshooting Proforms MCP Server with LlamaIndex
Common issues when connecting Proforms to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpProforms + LlamaIndex FAQ
Common questions about integrating Proforms MCP Server with LlamaIndex.