# Formester

> Use this tool when you need to integrate form submission data into AI workflows, enabling agents to read, search, and update submissions, as well as process file attachments. It solves problems related to automating form data processing and analysis, and provides an interface for AI agents to interact with form data. Ideal for use cases where form data needs to be seamlessly integrated with AI-powered workflows, such as customer service, lead generation, or data analysis.

Canonical page: https://skillsregistry.net/skills/formester  
JSON: https://api.skillsregistry.net/v1/skills/formester

## Description

Formester exposes form submission data to AI agents, enabling them to read, search, and update submissions as well as process file attachments. The server integrates with the Formester form builder platform to bring form data into AI workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/formester)
- **Repository:** <https://github.com/formester/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": "formester"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/formester` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/formester/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