# Productboard MCP Server

> Productboard MCP Server — djcorbett96-kojo-productboard-mcp. Use this tool when you need to integrate customer feedback management with your product development workflow, or when you want to streamline feature creation and note organization. The Productboard MCP Server solves problems related to feedback tracking, feature prioritization, and note management by providing an interface to fetch notes, search and create features, and link notes to features. It accepts inputs such as customer feedback and note data, and outputs organized features and linked notes, making it ideal for product managers and developers working with Productboard.

Canonical page: https://skillsregistry.net/skills/djcorbett96-kojo-productboard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/djcorbett96-kojo-productboard-mcp

## Description

MCP server for integrating with Productboard to manage customer feedback, fetch notes, search and create features, and link notes to features.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e673ffdao1)
- **Repository:** <https://github.com/djcorbett96/kojo-productboard-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": "djcorbett96-kojo-productboard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/djcorbett96-kojo-productboard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/djcorbett96-kojo-productboard-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