# SurveyMCP

> Use this tool when you need to automate survey processing and response generation from email-based inputs. SurveyMCP solves the problem of manual survey data extraction and response creation by processing PDF emails from Gmail and generating structured surveys via Gemini. It takes PDF emails as input and produces HTML replies as output, ideal for streamlining workflows that involve frequent survey-based communications.

Canonical page: https://skillsregistry.net/skills/murali-ftw-surveymcp  
JSON: https://api.skillsregistry.net/v1/skills/murali-ftw-surveymcp

## Description

Processes PDF emails from Gmail, generates structured surveys using Gemini, and sends HTML replies automatically via a queued workflow.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yz2qcgj8qr)
- **Repository:** <https://github.com/murali-ftw/SurveyMCP>

## 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": "murali-ftw-surveymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/murali-ftw-surveymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/murali-ftw-surveymcp/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