# Produktly

> Use this tool when you need to streamline communication between your AI assistant and product development teams. Produktly connects your AI to changelogs, feedback responses, and roadmap items, solving problems related to information silos and manual updates. It provides a seamless interface for reading and integrating product information, ideal for use cases requiring real-time knowledge and context.

Canonical page: https://skillsregistry.net/skills/com-produktly-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/com-produktly-mcp-server

## Description

Connect your AI assistant to Produktly. Read changelogs, feedback responses, and roadmap items.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.produktly%2Fmcp-server)

## Use it

MCP endpoint published by the skill: `https://api.produktly.com/api/mcp`

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": "com-produktly-mcp-server"
    }
  }
}
```

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