typeform · MCP Server

Typeform + Improvado MCP — Turn Survey Data into Decisions Instantly

Improvado gives your AI agent direct access to Typeform response data through an MCP server. Query form completions, drop-off points, response trends, and lead quality signals in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Analyze Any Typeform Response Data Instantly

Skip the Typeform dashboard. Ask your AI agent for completion rates, drop-off analysis, response trends, or lead quality breakdowns across every form and date range. The MCP server handles all API calls.

Example prompts

"Which question in the onboarding survey has the highest drop-off rate? Break it down by device type."

20 min → 30 sec

"Show me all responses from last week's product survey where NPS score was below 7. Summarize the open-text answers."

45 min → 2 min

"Compare completion rates across all active lead gen forms this month. Which form drives the highest quality leads?"

2 hrs → 1 min

Works with Claude ChatGPT Cursor +5

Write

Write: Act on Form Data Without Leaving the Chat

Your AI agent doesn't just read Typeform responses — it connects them to downstream actions. Tag responses, trigger follow-up workflows, and update lead records based on what respondents actually said.

Example prompts

"Tag all responses where the budget field shows $50K+ as 'high-value' and route them to the enterprise sales queue."

1 hr → 5 min

"For every respondent who rated support below 5, create a follow-up task in CRM with their response summary."

2 hrs → 10 min

"Archive all forms that haven't received a response in 90 days and export their final response data."

30 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Track Form Performance and Response Quality

Set up watches on form metrics that signal problems early. Your AI agent monitors completion rates, response volumes, and quality signals continuously.

Example prompts

"Alert me if any active lead gen form's completion rate drops below 40% for two consecutive days."

Manual → auto

"Every Friday: send a summary of total responses, average NPS, and top drop-off questions across all active forms."

2 hrs → auto

"Flag any form receiving more than 50 spam responses in a 24-hour period."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Summarizing Open-Text Responses at Scale

The problem

Teams collecting hundreds of open-ended survey responses have no efficient way to extract themes, sentiment, or actionable patterns. Reading every response manually takes days. Spreadsheet exports don't organize qualitative data.

How MCP solves it

Improvado extracts Typeform response data including open-text fields. AI agents can summarize qualitative themes, detect sentiment patterns, and surface the most common feedback topics across thousands of responses in seconds.

Try asking

Summarize the top 5 themes from open-text answers in this month's customer satisfaction survey.

Answer in seconds

All data sources, one query

Challenge 2

Drop-Off Analysis Requires Manual Export

The problem

Identifying which form question causes users to abandon requires exporting raw data, cross-referencing timestamps, and building custom funnels. By the time the analysis is done, the form has collected thousands more incomplete responses.

How MCP solves it

Improvado models Typeform response data with drop-off at question-level granularity. AI agents can pinpoint exactly where users exit, compare drop-off by segment, and recommend specific question edits.

Try asking

Which question in the demo request form causes the most drop-off on mobile vs desktop?

Full detail preserved

No data loss on export

Challenge 3

Form Responses Disconnected from CRM

The problem

Sales teams want to act on high-quality form submissions immediately, but Typeform data lives in a separate silo. Matching responses to CRM records requires manual exports, data cleaning, and copy-paste between systems.

How MCP solves it

Improvado normalizes Typeform data alongside CRM and marketing platform data. AI agents can match form responses to existing lead records, identify net-new leads, and trigger downstream actions — all from one query.

Try asking

Which demo request form submissions from this week don't have a matching CRM contact yet?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Typeform have an MCP server?

Typeform doesn't offer a native MCP server. Improvado provides a hosted MCP server that connects Typeform response data to Claude, Cursor, ChatGPT, and any MCP-compatible AI tool. It handles authentication, pagination, and data normalization automatically.

What Typeform data can I query through the MCP server?

Form responses including all answer types (text, multiple choice, rating scales, file uploads), completion and drop-off data at the question level, response metadata (device, time, hidden fields), form performance metrics, and respondent details. Improvado normalizes all response types so AI agents can query across forms without understanding Typeform's API structure.

Which AI tools work with Typeform through this MCP server?

Any tool supporting the Model Context Protocol — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is most commonly used due to its native MCP support — all through Improvado's hosted MCP server.

Can I combine Typeform data with other marketing data sources?

Yes. Improvado connects 1,000+ data sources through the same MCP server. Teams can query Typeform responses alongside CRM data, email engagement metrics, and ad performance — enabling full-funnel analysis from form submission to closed deal.

How does the MCP server handle large volumes of Typeform responses?

Improvado pre-aggregates Typeform response data and handles API pagination server-side. For forms with hundreds of thousands of responses, AI agents get instant aggregated answers without hitting Typeform's API rate limits.

Is Typeform response data secure through the MCP server?

Yes. Improvado is SOC 2 Type II certified. Typeform API credentials are stored in an encrypted vault. Respondent PII is handled according to GDPR and CCPA requirements. All data transmissions are encrypted in transit and at rest.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms