How do I get an API Token for Fulcrum?

Log in to your Fulcrum web app, click the Settings (gear icon), select 'API', and you can generate a new API Token.

Can I run SQL queries on my field data?

Yes! Use the 'query_records_sql' tool. Provide a standard SQL statement (e.g., SELECT * FROM "form_id") to instantly retrieve filtered datasets.

Is it possible to see the schema of a form?

Absolutely. The 'get_form_schema' tool retrieves the complete JSON definition of a form, including all its field keys, data types, and validation rules.

Can I programmatically create a new record?

Yes, you can use the 'create_record' tool. You will need the Form ID, latitude, longitude, and a JSON payload containing the specific form values.

Fulcrum MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Fulcrum
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fulcrum 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 Fulcrum "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Fulcrum MCP Server

Connect your Fulcrum environment to any AI agent to automate your field data collection and mobile inspection workflows through the Model Context Protocol (MCP). Fulcrum is a no-code mobile data collection platform used to build custom apps for field inspections, surveys, and inventory management. This MCP server enables you to retrieve dynamic form schemas, list collected records, and query massive datasets directly through natural conversation.

Pydantic AI validates every Fulcrum tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.

Key Features

Form Discovery — List all data collection apps (forms) and fetch detailed schemas including field definitions and validation logic.
Record Management — Access and retrieve collected field data, or create new records programmatically to keep your database updated.
Data Querying — Execute powerful SQL queries against the Fulcrum Query API to instantly retrieve and filter large datasets.
Team Oversight — List all organization members and system roles to manage user access and field workforce deployment.
Webhook Integration — Monitor configured webhooks to ensure your downstream systems are receiving real-time data syncs.
Real-time Synchronization — Keep your field intelligence accessible to your AI assistant without leaving your primary workspace.

The Fulcrum MCP Server exposes 10 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 Fulcrum to Pydantic AI via MCP

Follow these steps to integrate the Fulcrum 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 10 tools from Fulcrum with type-safe schemas

Why Use Pydantic AI with the Fulcrum MCP Server

Pydantic AI provides unique advantages when paired with Fulcrum 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 Fulcrum integration code

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

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

Fulcrum + Pydantic AI Use Cases

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

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

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

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

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

Fulcrum MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Fulcrum to Pydantic AI via MCP:

check_api_status

Verify API connection

create_record

Create data record

get_form_schema

Get form schema

get_record_details

Get record metadata

list_data_forms

List apps/forms

list_field_records

Can be filtered by form ID. List field data records

list_member_roles

g. Owner, Manager, Standard). List roles

list_organization_members

List team members

list_webhooks

List webhook configs

query_records_sql

Query data with SQL

Example Prompts for Fulcrum in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Fulcrum immediately.

"List all active forms/apps in my Fulcrum account."

"Run a SQL query to get the last 5 records from form 'form_123'."

"Show me the field schema for the 'Asset Inventory' form (ID: form_456)."

Troubleshooting Fulcrum MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fulcrum + Pydantic AI FAQ

Common questions about integrating Fulcrum 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 Fulcrum MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.