# Jotform Workflow MCP Server

> Jotform Workflow MCP Server — msukruavci-jotform-workflow-mcp. Use this tool when you need to manage and interact with Jotform Workflows through natural language conversations with AI assistants. It solves problems related to workflow creation, editing, and management, allowing users to perform tasks such as creating, reading, updating, and deleting workflows. The tool accepts natural language inputs and provides workflow-related outputs, making it ideal for automating and streamlining workflow management processes.

Canonical page: https://skillsregistry.net/skills/msukruavci-jotform-workflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/msukruavci-jotform-workflow-mcp

## Description

MCP server that exposes Jotform Workflows to AI assistants through 14 tools across discovery, reading, building, and risky actions. It allows creating, reading, updating, publishing, and deleting workflows, as well as managing their steps, all via natural language conversation.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/njs17xqfmd)
- **Repository:** <https://github.com/msukruavci/jotform-workflow-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "msukruavci-jotform-workflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msukruavci-jotform-workflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msukruavci-jotform-workflow-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt