Jotform MCP MCP | Api Key Jotform MCP connector for AI agents

CALL ANY TOOL

List forms and questions, pull submissions, retrieve individual responses, and analyze form data.

jotform_forms_list

List forms

List all forms in the Jotform account with status filter.

Parameters

Name

Type

Required

Description

status

string

Optional

Status: ENABLED, DISABLED, DELETED

limit

integer

Optional

Max forms

offset

integer

Optional

Pagination offset

jotform_form_get

Get form

jotform_submissions_list

List submissions

jotform_submission_get

Get submission

jotform_questions_list

List questions

Build your Agent

Drop the toolkit in, point it at the user, and your data collection agent can use Jotform MCP from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["jotformmcp"], toolNames: ["jotform_forms_list", "jotform_form_get", "jotform_submissions_list"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

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import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["jotformmcp"], toolNames: ["jotform_forms_list", "jotform_form_get", "jotform_submissions_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["jotformmcp"], toolNames: ["jotform_forms_list", "jotform_form_get", "jotform_submissions_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

Copied

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/jotformmcp",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using Jotform MCP.

Search & responses

Copy the prompt

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List all submissions for [form name] this week.

Copy the prompt

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Get the response to question [name] from [submission].

Copy the prompt

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How many submissions came in today?

Copy the prompt

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Find submissions where [field] equals [value].

Analysis & reporting

Copy the prompt

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Top answers to [question] in [form].

Copy the prompt

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Submission count by day for [form] this month.

Copy the prompt

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List all submissions with [field] blank.

Copy the prompt

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Find registrations from [company domain].

Forms & setup

Copy the prompt

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List all active forms.

Copy the prompt

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Get the questions in [form name].

Copy the prompt

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Find forms with no submissions this month.

Copy the prompt

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List disabled forms.

SEE HOW AUTH WORKS

Users authorize Jotform MCP once. Their credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Jotform MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Jotform MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Jotform MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Jotform MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other data collection agents and MCP connectors. Working code, live demos, fork what fits.

SUPPORT

Freshdesk CSAT follow-up agent

Google ADK agent that watches low CSAT scores in Freshdesk and drafts personalised follow-ups for support leads.

Freshdesk

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Jotform MCP today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Jotform MCP as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Jotform MCP api key stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Jotform MCP?
Yes. Pass a tool name filter to listScopedTools so the data collection agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Jotform MCP.

What happens when a user revokes Jotform MCP access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Can the agent read submissions from forms the user doesn't own?
Only forms and submissions the authorizing user's API key permits. Keys are scoped to the Jotform account that generated them. Cross-account responses are inaccessible unless explicit sharing is configured.

Jotform MCP

Tools your data collection agent reaches for on Jotform MCP, scoped per user.