Indy MCP. Manage Client Data, Proposals, and Records via Chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Indy lets you manage your entire client lifecycle—from initial proposal to final invoice—using form submissions, contracts, and time tracking. Connect it via MCP to let your AI agent handle data collection and record keeping automatically.
What your AI agents can do
Create form
Creates a new form within your Indy account.
Create webhook
Sets up a new webhook to trigger actions when data is submitted.
Delete form
Removes an existing form from your account.
Create new forms, delete old ones, or list every form you have access to.
List all submitted records and inspect individual submissions with full field data, including attached files.
Retrieve details about connected users or check your overall account status in Indy.
Create, list, or delete webhooks to connect form submissions to other services.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Indy: 12 Tools for Data Collection
Use these tools to create, read, update, and delete all form types, webhooks, users, and records within your Indy account.
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 Indy on Vinkius019dd109create form
Creates a new form within your Indy account.
019dd109create webhook
Sets up a new webhook to trigger actions when data is submitted.
019dd109delete form
Removes an existing form from your account.
019dd109delete webhook
Deactivates and removes a configured webhook.
019dd109get account info
Retrieves the current status and details of your Indy account.
019dd109get form
Gets specific, detailed information about a single form.
019dd109get record
Retrieves the complete submission details for one specific record.
019dd109get user
Fetches the profile details of a connected user.
019dd109list forms
Lists all forms available in your account.
019dd109list records
Retrieves a list of form submissions, giving you an overview of the data collected.
019dd109list users
Lists all users connected to your Indy account.
019dd109list webhooks
Shows a list of active webhooks you have configured.
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 Indy, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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 Indy. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Dealing with Client Data Today
Right now, collecting and reviewing client-submitted information means jumping between tabs: opening a dashboard, clicking through groups of records, finding the right submission date, and then having to manually copy data points into your working document or CRM. It's slow, prone to human error, and you lose context every time you leave that page.
With this MCP, your agent does all that work in a single chat session. You don't navigate dashboards; you just ask questions. The AI client handles the listing of forms, checking submissions via `list_records`, and pulling specific details using tools like `get_record`. You get answers instantly without any manual clicking.
Indy MCP: Actionable Data Retrieval
Before, if you needed a submission to trigger an action in another system, you had to manually set up and test webhooks within the Indy interface. If that failed, debugging was a nightmare of logs and forgotten credentials.
Now, your agent manages this process for you. You can use `create_webhook` or `delete_webhook` through natural language conversation, making complex automation feel as simple as sending a message.
What you can do with this MCP connector
This connector brings the functionality of Indyforms directly into your natural conversation flow. Instead of logging into a dashboard just to check status updates or pull raw data, you talk to your AI client, and it does the work for you. You can ask it to list all available forms, find specific records from past submissions, or even inspect the detailed fields attached to a particular entry.
It manages form templates so you don't have to rebuild designs constantly, and keeps track of everything that happens across different groups. If your business relies on structured data coming from clients—whether it’s job applications or survey responses—this MCP lets your AI agent handle that entire process without you touching the interface.
Since we host thousands of connectors at Vinkius, you can connect this Indy capability alongside other services to build a complete operational workflow.
019dd109-e8f4-72a3-b918-38dc9df6341f 
How Indy MCP Works
- 1 Subscribe to this MCP on Vinkius and provide your Indy Access Token.
- 2 Direct your AI agent to the connector. You'll tell it exactly what data you need—like 'Show me all records for the bug report form.'
- 3 Your agent runs the necessary tool calls, retrieves the structured data (e.g., submission details or user lists), and presents a clean summary directly in your chat.
The bottom line is: you stop moving between tabs and start working with clear, actionable answers right where you're chatting.
Who Is Indy MCP For?
Operations managers who are tired of manually cross-referencing spreadsheets; project leads who need to quickly audit submissions; or developers building internal data pipelines. If your job involves structured client input, this is for you.
Needs to track form submission flow and response data without opening the main dashboard.
Creates new intake forms, reviews submissions for missing fields, and organizes reusable templates for different projects.
Integrates form management into automated workflows and builds data collection logic directly from the AI agent.
What Changes When You Connect
- Review submissions instantly. Instead of clicking through a dashboard to see data from the 'Job Application' form, your agent runs
list_recordsand gives you an immediate breakdown of all entries. - Build automation logic easily. When a client submits a form, you can use the webhook tools (
create_webhook,delete_webhook) to trigger follow-up actions in another system automatically. - Keep track of assets. You can run through all submissions and instantly list every attached file using the record data, eliminating manual downloads.
- Organize your structure. Use
list_formsorget_formto see which templates exist, ensuring you never accidentally use an outdated form design. - Manage access points. Easily check who is connected by calling
list_usersor confirm the overall system health usingget_account_info, all without leaving your conversation window.
Real-World Use Cases
Audit a client's bug report submissions.
A developer needs to know if there were any critical login issues reported last week. They ask their agent, which uses list_records for the 'Bug Report' form and extracts priority data, giving them a count of Critical vs. High-priority bugs instantly.
Set up automated lead capture.
A project manager needs every new submission to trigger an internal Slack alert. They use the webhook tools (create_webhook) via their agent, linking the form data directly to a messaging platform without writing any code.
Check system access and user permissions.
An operations team member needs confirmation on who has access to client data. They call list_users through their agent, getting an immediate list of connected accounts for review.
The Tradeoffs
Copying and pasting submission details.
Opening the Indy dashboard, finding a record ID, manually clicking into it to read out data, then copying fields into an email or spreadsheet.
→
Just ask your agent to get the record using get_record and let it output the structured JSON data directly. The information is delivered perfectly formatted.
Guessing which form was used.
Opening a file attachment but having no idea which specific client or project that submission belongs to, wasting time searching through archives.
→ Ask the agent to list files and specify the record ID. This ensures you get the exact context for every attached piece of data.
Trying to manually update form fields.
Realizing a field needs changing on an existing form, then having to navigate into the form editor interface just to tweak the setup.
→
If you need to make changes, use get_form first to check the current configuration before attempting any updates.
When It Fits, When It Doesn't
Use this MCP if your primary goal is structured data collection or managing the lifecycle of forms and submissions. If you are building complex internal logic, think of these tools as atomic actions: they let your AI agent execute a single step—like listing records or creating a webhook. Don't use it if your task requires deep accounting ledger management or real-time inventory control; those systems require specialized integrations outside the scope of form submission data. If you just need to check account status, get_account_info is enough. If you want to change how data moves after submission, focus on the webhook tools.
Common Questions About Indy MCP
How do I see all the forms available with list_forms? +
You simply ask your agent to run list_forms. It will pull and display a complete inventory of every form you've created or have access to, saving you from clicking through multiple menus.
Can I use get_record to check old submissions? +
Yes. Running get_record allows your agent to pull all the detailed field data for a specific submission. This is perfect for auditing past client work without needing the original link.
What if I need to delete an unused form? Should I use delete_form? +
If you're sure the form is no longer needed, calling delete_form will remove it. Always run list_forms first just to be certain of the form's name or ID.
Does list_users show all my employees? +
No, list_users shows every user account that is connected and associated with your Indy system. This helps you manage who has access to which data sets.
How do I check which webhooks are active or manage them using list_webhooks? +
list_webhooks returns a list of your currently running integrations. You can use create_webhook to set up new triggers that fire when specific form events happen, letting your agent automate actions without manual steps.
Before I build a form, how can I inspect its structure using get_form? +
get_form provides the complete schema for any existing form. This lets you verify field types, required inputs, and validation rules before writing code that interacts with it.
If I'm troubleshooting data flow issues, what does get_account_info show me? +
get_account_info checks the current status of your Indy account. It gives you immediate visibility into things like subscription levels and any potential usage limits that might affect performance.
What specific data points can I get from a user using get_user? +
get_user retrieves detailed information about connected accounts, including specific identifying fields and contact details. It helps your agent pinpoint exactly which user record you need to act upon.
Can I create new forms and manage submissions through the AI agent? +
Yes. Use create_form to build new forms, list_forms to see all forms, list_records to browse submissions, and get_record to inspect individual responses with full field data. Use delete_form to remove unused forms.
Can I use templates to create forms faster? +
Yes. Use list_templates to browse available form templates and get_template to inspect their structure. Templates provide reusable form designs that save time on repetitive form creation.
Can I access files attached to form submissions? +
Yes. Use list_files to retrieve all files attached to form submissions. Each file includes metadata like name, size, and the record it belongs to.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.