Can my agent create or submit a form entry in Gravity Forms?

Yes. Use the 'submit_form' tool. By passing the field values mapping, the agent can programmatically submit data to any form, triggering all configured validations, email notifications, and third-party feeds automatically.

How do I look up specific customer submissions via chat?

You can use the 'list_entries' tool with optional filters. For example, you can filter by Form ID or search terms to locate specific records and then use 'get_entry' to retrieve the full details of that submission.

Can I add internal notes to entries through the agent?

Absolutely. Use the 'create_entry_note' tool. This allows your agent to leave context or internal documentation on specific form submissions, visible to other team members in the WordPress admin area.

Gravity Forms MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Gravity Forms
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gravity Forms through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Gravity Forms "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gravity Forms?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Gravity Forms tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Gravity Forms MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Gravity Forms MCP Server

Pydantic AI provides unique advantages when paired with Gravity Forms through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gravity Forms integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Gravity Forms connection logic from agent behavior for testable, maintainable code

Gravity Forms + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gravity Forms MCP Server delivers measurable value.

Type-safe data pipelines: query Gravity Forms with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Gravity Forms tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Gravity Forms and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Gravity Forms responses and write comprehensive agent tests

Gravity Forms MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Gravity Forms to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Gravity Forms to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gravity Forms + Pydantic AI FAQ

Common questions about integrating Gravity Forms MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Gravity Forms MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.