Fulcrum MCP for AI. Query, create, and audit real-world data from the field.
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Fulcrum connects your AI agent directly to field data and inspection workflows. This MCP lets you programmatically discover form schemas, pull existing records, create new entries, or run complex SQL queries against massive datasets collected in the field.
What your AI can do
Create record
Creates a new data record in your system using predefined form fields.
Check api status
Verifies if the API connection is currently active and working.
Get form schema
Retrieves the structural definition (schema) of any specific data collection form.
List all available data collection apps (forms) and retrieve detailed blueprints of their fields, including validation rules.
Retrieve specific records or query massive datasets using custom SQL commands to filter and pull exactly the information you need.
Create new records in your database programmatically, keeping field data current without manual form filling.
List team members and system roles to audit who has access to what parts of the platform.
View all configured webhooks to verify that downstream systems are getting real-time data syncs.
Ask an AI about this
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Fulcrum: 10 Tools for Data and Form Management
These ten tools let your AI agent perform everything from listing available forms to running complex SQL queries against massive field data sets.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Fulcrum on VinkiusCreate Record
Creates a new data record in your system using predefined form fields.
Check Api Status
Verifies if the API connection is currently active and working.
Get Form Schema
Retrieves the structural definition (schema) of any specific data collection form.
Get Record Details
Fetches specific metadata and details about an existing record.
List Data Forms
Lists every data collection app or form available in your account.
List Organization Members
Provides a directory listing of all team members in your account.
List Field Records
Retrieves lists of collected field data, with the ability to filter by a specific form ID.
List Member Roles
Lists defined roles within the organization (like Owner, Manager, Standard).
List Webhooks
Displays the configuration details for webhooks set up for data syncing.
Query Records Sql
Executes custom SQL queries against your field database to pull filtered results.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Fulcrum integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Fulcrum, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fulcrum. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Sandboxed per request
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Token Compression
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Fieldwork data lives in scattered forms and siloed reports.
Today, if an operations manager needs a full picture of site inspections, they have to log into the form platform. They check one dashboard for completed records, another section for user assignments, and maybe run a separate report export just for SQL analysis. It's a lot of tabs, clicking through multiple views, and copy-pasting data between spreadsheets until it finally makes sense.
With this MCP, you talk to the system as if it were one giant database conversation. You ask your agent to 'Give me all records from Site Inspection forms done last quarter.' It runs the complex query behind the scenes using `query_records_sql` and gives you the clean result immediately. No exports, no dashboard hopping.
The Fulcrum MCP brings record creation into your workflow.
Previously, if an inspector found a new asset or needed to correct old data, they had to open the mobile app and manually create a record. This process was slow and meant that any changes weren't available immediately for deep analysis by other teams.
Now, your agent can handle this. You tell it: 'Create a new Asset Inventory record using these details.' It executes `create_record`, writes the data to the source form structure, and keeps everything synced instantly. The change is live.
What your AI can actually do with this
Your AI client can now handle complicated fieldwork logistics without needing manual exports or dashboards. It reads the structure of your custom data forms and knows exactly what fields are available for inspection or inventory checks. Need to know if a form requires a photo or just text? Your agent finds that out instantly by listing the schemas.
When you need actual data, it pulls records directly from the field—not just showing you what was collected, but letting you build new entries right into the system. For deep analysis, your agent executes precise SQL queries against whatever dataset you're working with. All this capability is housed under one roof at Vinkius; you connect once and gain access to managing records, forms, users, and webhooks via natural conversation.
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Here's how it actually works
The bottom line is that you stop jumping between apps; you manage complex field operations entirely through conversation with your AI agent.
Subscribe to this MCP through the Vinkius Marketplace and enter your Fulcrum API Token.
Your AI agent uses natural language to request information, such as listing all forms or running an SQL query against field data.
The MCP executes the specific tool call, retrieves the structured data, and presents it directly back to your conversational interface.
Who is this actually for?
Operations managers who are sick of running manual data reports, or analysts stuck clicking through multiple dashboards to find a single piece of information. This MCP lets them talk directly to their operational database.
Checks collected records and queries survey datasets instantly without having to export data or manually check reports.
Uses natural language prompts to run complex SQL against field data for immediate reporting needs.
Automates the retrieval of form schemas and member lists while maintaining an audit trail of user permissions.
What Changes When You Connect
Stop guessing what data is available. Use list_data_forms to instantly discover every form structure in your company without navigating through multiple menus.
Never manually compile reports again. Run powerful SQL queries using query_records_sql and get filtered datasets immediately, letting your agent present the results.
Keep data accurate by having the AI client directly execute create_record. This ensures new field inspections are logged instantly without human intervention.
Manage who can access what by running list_organization_members and checking system roles via list_member_roles, giving you a clean audit of your workforce permissions.
Streamline system maintenance. Check webhooks using list_webhooks to confirm that all downstream systems are receiving data updates in real time.
See it in action
Auditing Equipment Inventory
A field manager needs to know the condition and location of all assets marked 'Class C' last month. Instead of running a complex report, they prompt their agent: 'Show me records from Asset Inventory where Condition is C and Date > [date].' The MCP uses query_records_sql to pull the exact list.
Onboarding New Users
A system admin needs a full picture of who works in which department. They prompt: 'List all managers and their roles.' The agent uses list_organization_members and list_member_roles, giving the administrator an immediate, structured list for onboarding.
Catching Missing Forms
A new department starts collecting data but nobody knows which form to use. The agent runs 'List all active forms,' using list_data_forms, and immediately shows the full catalog of available applications for them to choose from.
Fixing Broken Data Pipelines
The data sync between the field app and the central CRM seems broken. Instead of checking logs everywhere, the agent uses list_webhooks to review every configured webhook and verify its status immediately.
The honest tradeoffs
Treating all data as one pool
Asking the agent a vague question like, 'Show me the latest site info.' This lacks necessary context and will fail or give confusing results.
Be specific. Always reference the source form ID and use list_field_records with filters, or better yet, run targeted queries using query_records_sql to define exactly what you want.
Manually exporting data for analysis
The analyst downloads a CSV of 500 records, cleans it in Excel, and then runs pivot tables. This takes hours.
Use the MCP to talk directly to the database. Prompt your agent with SQL queries via query_records_sql and get the perfectly filtered, structured data instantly.
Over-relying on UI navigation
The user clicks through three different tabs—Users, Forms, Records—to build a report. This is slow and prone to human error.
Use the agent to consolidate that effort. First, use list_data_forms to identify the structure, then use get_form_schema to validate fields, and finally, pull data with list_field_records.
When It Fits, When It Doesn't
Use this MCP if your core pain point is querying or manipulating structured operational data gathered from mobile forms. If you need to discover what forms exist, list users, audit permissions, or query records using specific criteria (like date ranges or asset types), this is your tool. Don't use it if your primary need is general document storage or unstructured text analysis; for that, a dedicated search engine type of MCP works better. If you only need to see the basic schema without knowing how to query data, list_data_forms gives you enough initial visibility.
Questions you might have
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.
How do I use `list_organization_members` to check team members and their roles? +
It lists every user in your organization. You get a clear roster of all team members, which helps you verify who has access to the data. This is critical when onboarding new field workers or auditing permissions.
If I need more context on collected data, what does `get_record_details` provide? +
It pulls all the metadata for a specific record. You don't just get the value; you see details like when it was created and which form generated it. This helps analysts understand the full history of any dataset.
I need to know what data sources are available, so how do I use `list_data_forms`? +
This tool lists every active app or form you've built. It gives you a quick inventory of all potential data collection apps in your account. You can then select the specific forms you want to work with.
How do I monitor real-time system health using `list_webhooks`? +
It shows you every configured webhook endpoint. If a downstream system isn't receiving data, checking this list confirms if the connection is even set up correctly. It’s your quick way to audit data flow.
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