Gravity Forms MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gravity Forms 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Gravity Forms. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Gravity Forms?"
)
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 Gravity Forms MCP Server
Connect your Gravity Forms REST API to any AI agent and take full control of your WordPress forms, entries, and submissions through natural conversation.
LlamaIndex agents combine Gravity Forms 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 all forms on your site and inspect their fields and configuration structures natively
- Entry Management — Search and retrieve specific submissions, updating field values or trashing entries as needed
- Automated Submissions — Submit form data programmatically by passing field values, triggering all standard validation and notifications
- Insights & Results — Retrieve aggregate results and statistics for any form to analyze conversion rates and user data
- Note Collaboration — Read and add notes to specific entries to maintain internal team context within your helpdesk workflow
- Feed & Notification Oversight — Audit active feeds and notification settings to ensure your data is flowing correctly to external services
The Gravity Forms 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.
How to Connect Gravity Forms to LlamaIndex via MCP
Follow these steps to integrate the Gravity Forms MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Gravity Forms
Why Use LlamaIndex with the Gravity Forms MCP Server
LlamaIndex provides unique advantages when paired with Gravity Forms through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gravity Forms tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gravity Forms tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gravity Forms, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gravity Forms tools were called, what data was returned, and how it influenced the final answer
Gravity Forms + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gravity Forms MCP Server delivers measurable value.
Hybrid search: combine Gravity Forms real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gravity Forms 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 Gravity Forms for fresh data
Analytical workflows: chain Gravity Forms queries with LlamaIndex's data connectors to build multi-source analytical reports
Gravity Forms MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Gravity Forms to LlamaIndex via MCP:
create_entry_note
Add a new note to a form entry
delete_entry
Delete a form entry
get_entry
Get detailed data for a specific form entry
get_form
Get the structure and configuration of a specific form
get_form_results
Get aggregate results and statistics for a specific form
get_notifications
Get configured notifications for a specific form
list_entries
Retrieve entries (submissions) for forms
list_entry_notes
List all notes attached to a specific entry
list_feeds
List all active feeds for a specific form
list_forms
List all forms created in Gravity Forms
submit_form
Submit a form programmatically
update_entry
Update an existing form entry
Example Prompts for Gravity Forms in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gravity Forms immediately.
"List my forms in Gravity Forms"
"Show me the entries for Form ID 1 from this week"
"Add a note to entry #1042: 'Customer contacted support, refund processed'"
Troubleshooting Gravity Forms MCP Server with LlamaIndex
Common issues when connecting Gravity Forms to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGravity Forms + LlamaIndex FAQ
Common questions about integrating Gravity Forms MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Gravity Forms with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gravity Forms to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
