# Formester

> Use this tool when you need to access and analyze form submission data, automate insights generation, and process file attachments. It solves problems related to form data management, search, and filtering, and provides outputs such as AI-generated insights and custom fields. It takes form submissions, including PDFs and images, as inputs and is ideal for use cases where automated data analysis and processing are required.

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

## Description

Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/drcpdci7cn)
- **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-mcp"
    }
  }
}
```

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